Journal articles: 'People's tracking'

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Bohannon, J. "SOCIAL SCIENCE: Tracking People's Electronic Footprints." Science 314, no. 5801 (November 10, 2006): 914–16. http://dx.doi.org/10.1126/science.314.5801.914.

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Li, Lei, Jun Li, and Shiyi Zhang. "Review article: State-of-the-art trajectory tracking of autonomous vehicles." Mechanical Sciences 12, no. 1 (April 16, 2021): 419–32. http://dx.doi.org/10.5194/ms-12-419-2021.

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Abstract. Air pollution, energy consumption, and human safety issues have aroused people's concern around the world. This phenomenon could be significantly alleviated with the development of automatic driving techniques, artificial intelligence, and computer science. Autonomous vehicles can be generally modularized as environment perception, path planning, and trajectory tracking. Trajectory tracking is a fundamental part of autonomous vehicles which controls the autonomous vehicles effectively and stably to track the reference trajectory that is predetermined by the path planning module. In this paper, a review of the state-of-the-art trajectory tracking of autonomous vehicles is presented. Both the trajectory tracking methods and the most commonly used trajectory tracking controllers of autonomous vehicles, besides state-of-art research studies of these controllers, are described.

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Zeitler, Elisabeth, Laurie Buys, Rosemary Aird, and Evonne Miller. "Mobility and Active Ageing in Suburban Environments: Findings from In-Depth Interviews and Person-Based GPS Tracking." Current Gerontology and Geriatrics Research 2012 (2012): 1–10. http://dx.doi.org/10.1155/2012/257186.

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Background. Governments face a significant challenge to ensure that community environments meet the mobility needs of an ageing population. Therefore, it is critical to investigate the effect of suburban environments on the choice of transportation and its relation to participation and active ageing.Objective. This research explores if and how suburban environments impact older people's mobility and their use of different modes of transport.Methods. Data derived from GPS tracking, travel diaries, brief questionnaires, and semistructured interviews were gathered from thirteen people aged from 56 to 87 years, living in low-density suburban environments in Brisbane, Australia.Results. The suburban environment influenced the choice of transportation and out-of-home mobility. Both walkability and public transportation (access and usability) impact older people's transportation choices. Impracticality of active and public transportation within suburban environments creates car dependency in older age.Conclusion. Suburban environments often create barriers to mobility, which impedes older people's engagement in their wider community and ability to actively age in place. Further research is needed to develop approaches towards age-friendly suburban environments which will encourage older people to remain active and engaged in older age.

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Vigren, Minna, and Harley Bergroth. "Move, eat, sleep, repeat: Living by rhythm with proactive self-tracking technologies." Nordicom Review 42, s4 (September 1, 2021): 137–51. http://dx.doi.org/10.2478/nor-2021-0046.

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Abstract Proactive self-tracking is a proliferating digital media practice that involves gathering data about the body and the self outside a clinical healthcare setting. Various studies have noted that self-tracking technologies affect people's everyday modes of thought and action and stick to their lifeworlds because these technologies seek to promote “improved” modes of behaviour. We investigate how the specific devices and interfaces involved in self-tracking attract and prescribe rhythmicity into everyday lives and elaborate on how human bodies and technical systems of self-tracking interact rhythmically. We draw from new materialist ontology, combining it with Henri Lefebvre's method of rhythmanalysis and his notion of dressage. We employ a collaborative autoethnographical approach and engage with both of our personal fieldwork experiences in living with self-tracking devices. We argue that rhythmicity and dressage are fruitful analytical tools to use in understanding human–technology attachments as well as a variety of everyday struggles inherent in self-tracking practices.

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Chen, Tian Ding, Chao Lu, and Jian Hu. "Dynamic Target Tracking Based on Particle Filter in Actual Environment." Advanced Materials Research 683 (April 2013): 824–27. http://dx.doi.org/10.4028/www.scientific.net/amr.683.824.

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With the development of science and technology, target tracking was applied to many aspects of people's life, such as missile navigation, tanks localization, the plot monitoring system, robot field operation. Particle filter method dealing with the nonlinear and non-Gaussian system was widely used due to the complexity of the actual environment. This paper uses the resampling technology to reduce the particle degradation appeared in our test. Meanwhile, it compared particle filter with Kalman filter to observe their accuracy .The experiment results show that particle filter is more suitable for complex scene, so particle filter is more practical and feasible on target tracking.

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Morariu, Vlad I., David Harwood, and Larry S. Davis. "Tracking People's Hands and Feet Using Mixed Network AND/OR Search." IEEE Transactions on Pattern Analysis and Machine Intelligence 35, no. 5 (May 2013): 1248–62. http://dx.doi.org/10.1109/tpami.2012.187.

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Han, Fang Xu, Chun Fa Li, and Qi Qi Yang. "Research on Energy Logistics Service Quality Management Implications to Sustainable Development." Advanced Materials Research 986-987 (July 2014): 479–82. http://dx.doi.org/10.4028/www.scientific.net/amr.986-987.479.

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Analyzed about the present situation of energy logistics service quality, and combined with related literature at home and abroad, select “energy logistics tracking information timeliness”, “accuracy of energy logistics tracking information”, ”energy delivery time accuracy”, “energy distribution accuracy “, “energy integrity “, “error handling” six elements as a measure factors of the energy logistics service quality, establish research model. Through questionnaire investigation and quantitative analysis verify this research model. The Conclusions: energy distribution of accuracy have significant positive effects on sustainable development, and influence degree; Energy delivery time accuracy, integrity have significant positive effects on sustainable development, but the impact is relatively small; While energy logistics tracking information timeliness, accuracy and error of energy logistics tracking information treatment had no significant influence to the sustainable development of economy and society. Energy logistics is an important part of the logistics industry, also is an important support of economic society and people's life. Improve the quality of energy logistics service, to play an important role in promoting sustainable development.

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Jo, Seong-Hyeon, Jong-Hun Choe, Suk-Hyun Seo, Won-Hoe Kim, Hong-Kyu Lee, and Se-Ho Park. "The smart IV stand design through human tracking mobile robot system by CDS cell." Modern Physics Letters B 29, no. 06n07 (March 20, 2015): 1540013. http://dx.doi.org/10.1142/s0217984915400138.

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Vision-based recognition of the object as a general interface gives us high cost and complicated problem. This research suggests human tracking system by Arduino, and Laser-CdS cell system track wire that pass laser line. In this paper, we review existing literature on application systems of recognition which involves many interdisciplinary studies. We conclude that our method can only reduce cost, but is easy way to trace people's location with the use of wire. Furthermore, we apply several recognition systems including CdS-based mobile robot that is applied IV stand used at the hospital effectively.

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Ding, Yi, Yu Hui Li, and Bo Li. "Advances in Intelligent Visual Surveillance Technology." Applied Mechanics and Materials 738-739 (March 2015): 730–33. http://dx.doi.org/10.4028/www.scientific.net/amm.738-739.730.

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With the improvement of people's security requirements,increasing the number of surveillance cameras,video surveillance by human beings is no longer suitable. Hence,intelligent visual surveillance technology emerges and becomes one of the hottest research points. In this paper,the processing of intelligent video surveillance based on human motion was divided into four categories: target detection,target tracking,object classification and recognition,and behavior analysis. Also made a detailed comprehensive review for situation of these parts,and made comprehensively summarized for the problems and difficulties which have to be resolved.

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Anwar, Haeril, Rusnaena, and Zainal Said. "PERSEPSI MASYARAKAT ISLAM TERHADAP SOLUSI PERMODALAN PADA LEMBAGA KEUANGAN DI KECAMATAN CEMPA KABUPATEN PINRANG." BANCO: Jurnal Manajemen dan Perbankan Syariah 2, no. 1 (May 31, 2020): 44–64. http://dx.doi.org/10.35905/banco.v2i1.1348.

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The lack of understanding of the Islamic community in financial institutions often causes problems in obtaining interest-free business capital solutions. Therefore it is necessary to understand people's perceptions of the capital of financial institutions. These problems can be identified by tracing the process of acquiring, interpreting, selecting, and organizing sensory information. The results of tracking people's perceptions of the capital of financial institutions will be analyzed using Islamic economic analysis.This research uses a qualitative approach and in collecting data using methods of observation, interviews, and documentation. Analysis of the data obtained from interviews, field notes, and other materials, was compiled systematically so that it was easily understood and elaborated in the form of quotations to find out how people's perceptions of capital in financial institutions as well as knowing capital concepts in the Cempa community with Islamic economic analysis.The results showed that: 1) Community perception The earthquake on capital issued by financial institutions is very helpful in improving the community's economy, especially in venture capital. 2) The concept of capital in the average earthquake community still uses conventional financial institutions that use the interest system that is prohibited by Islamic law. The Cempa community still uses the services of conventional financial institutions as a place for capital, because there are no Islamic financial institutions in the area. 3) Financial institutions in the Cempa community are quite evident from the results of interviews, the community uses the services of financial institutions as a place for business capital.

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Lynne, Kimberley. "Baltimore '68: Riots and Rebirth—The History Tellers." Public Historian 31, no. 4 (2009): 41–47. http://dx.doi.org/10.1525/tph.2009.31.4.41.

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Abstract Kimberley Lynne wrote and directed a play entitled One Particular Saturday, a compilation of witness accounts of the Baltimore '68 riots. Her article describes the process of creating this theatrical production and its impact on the community. Tracking her experience from reading the witness transcriptions to organizing post-show discussions, Lynne describes the process of responding to neighborhood concerns through the medium of a restorative play. Theater began as a religion, and it still wields a cathartic power that can change people's opinions and make history current. Theater also proves a useful teaching device; the play was included twice as part of curricula that teach history and conflict management.

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Liu, Rui, Yao Li Zhang, and Ya Juan Niu. "The Application of RFID in the Field of Medical Circulation." Applied Mechanics and Materials 440 (October 2013): 131–34. http://dx.doi.org/10.4028/www.scientific.net/amm.440.131.

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Medicine, as a special product, is closely related with people's lives and health. Therefore, to ensure the quality and safety of the drug from the point of production to the point of final consumers is of great importance, especially the drugs which require cold storage and refrigerated transport. The quality stability of those drugs is greatly influenced by the fluctuations in temperature, so that a predetermined low temperature environment (usually 10 °C) in the supply chain is needed for the convenience of circulation and usage, in order to ensure quality and safety, to reduce loss and to prevent pollution. The transportation link, which is the most difficult one to control during the circulation of medicine, has long been the dead zone of logistics tracking [. Therefore, the temperature monitoring of drugs has gained more attention. The emergence of RFID technology has become a necessary impetus to solve this problem. RFID technology, which can store large amounts of drug information , is also a kind of data acquisition technology with the ability to update constantly and realize the real-time tracking of drugs.

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Ene, Irina. "Study of Consumer’s Unconscious Reaction towards the Use of Anthropomorphic Appearance of AI: An Eye-Tracking Experiment." Studia Universitatis „Vasile Goldis” Arad – Economics Series 28, no. 4 (December 1, 2018): 55–67. http://dx.doi.org/10.2478/sues-2018-0020.

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Abstract With disruptive technologies constantly emerging, the impact of artificial intelligence is becoming a relevant topic nowadays. An extensive investment in business intelligence support systems has been recognized as one of the top priorities of most successful managers. However, these constant internal changes of systems and management styles rarely happen smooth and natural, and frequently they trigger serious issues for the companies and its interactions with their customers. Implementations like automated call centers and online payment systems are just mainstream examples which can be used to show the numerous implications of the intrusion of artificial intelligence systems in our everyday life. With the increasing use of various forms of technology, an ongoing discussion has emerged about people's willingness to accept these technological trends. There are, of course, both pro and counter arguments to be discussed. In this article there are presented the results of an eye-tracking experiment about the reaction of consumers towards several forms of artificial intelligence. It has been shown that consumers have the tendency to react more at unexpected situations involving robots and forms of artificial intelligence.

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Haris, Nurina Aulia. "TRACKING DOWNS CHRISTIAN DIOR IN AMERICAN POST-WWII FASHION UNTIL EARLY 1950s." Rubikon : Journal of Transnational American Studies 4, no. 1 (July 19, 2019): 63. http://dx.doi.org/10.22146/rubikon.v4i1.47860.

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This article studied the accomplishment of Christian Dior during his business venture in American market by using his autobiography as the main source of the research and qualitative research used as the method of study. Graves’s thought on Consumer Behavior are used as the approach of study under the umbrella of Transnational American Studies.The success of Dior in the American market is not solely because of his dresses but there are other factors that support the success of his business especially the post-World War II situation where people need something new that can make them remember the times before the war, in addition, the promotion and assessment of fashion experts through fashion and lifestyle magazines also affect people's assessment of Dior's dresses and make them affected to own his collections. Based on the theory described by Graves, people tendency to imitate others is capable to influence one's expenses and this can be seen from the phenomena occurring in American society toward Dior’s works.Concisely, the result of this research shows that the success of Dior in American market happened because of 2 things. First is the nature of human being that loves beauty, neatness, and things which make them happy. Second is the timing of his debut which was post war era where people were researching the pride they lost during the war caused by the limitation applied by the government and the condition itself therefore when Dior came with his collections they saw it as if it was their way to get back their pride as by wearing Dior’s collection it can show their social status. Keywords: Christian Dior, Fashion, Societies, World War II

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Gillan, Douglas J., and Merrill V. Sapp. "Static Representation of Object Motion." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 49, no. 17 (September 2005): 1588–92. http://dx.doi.org/10.1177/154193120504901719.

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Displaying motion information is useful in dynamic tasks, such as tracking or predicting the course of moving objects or systems (e.g., unmanned ground or air vehicles, troops, or weather). Static representations of object motion may be useful when technological limitations prevent use of dynamic displays. The present experiment examined people's interpretations of a variety of static cues to represent object motion. Participants viewed and rated two static types of representation of object motion – motion lines and arrows. The features of object motion that participants rated were distance traveled, direction, path, speed, and acceleration. The results show that observers reliably interpret certain static cues to represent features of object motion, especially distance, direction, path and speed; the cues examined were not interpreted as representing acceleration. The results are interpreted as guidelines for design of displays that include object motion information.

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Wu, Xing, and Shaojian Zhuo. "Chinese Text Sentiment Analysis Utilizing Emotion Degree Lexicon and Fuzzy Semantic Model." International Journal of Software Science and Computational Intelligence 6, no. 4 (October 2014): 20–32. http://dx.doi.org/10.4018/ijssci.2014100102.

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Text on the web has become a valuable source for mining and analyzing user opinions on any topic. Non-native English speakers heavily support the growing use of Network media especially in Chinese. Many sentiment analysis studies have shown that a polarity lexicon can effectively improve the classification consequences. Social media, where users spontaneously generated content have become important materials for tracking people's opinions and sentiments. Meanwhile, the mathematical models of fuzzy semantics have provided a formal explanation for the fuzzy nature of human language processing. This paper investigated the limitations of traditional sentiment analysis approaches and proposed an effective Chinese sentiment analysis approach based on emotion degree lexicon. Inspired by various social cognitive theories, basic emotion value lexicon and social evidence lexicon were combined to improve sentiment analysis consequences. By using the composite lexicon and fuzzy semantic model, this new sentiment analysis approach obtains significant improvement in Chinese text.

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De Plaen, Raphael S. M., Víctor Hugo Márquez-Ramírez, Xyoli Pérez-Campos, F. Ramón Zuñiga, Quetzalcoatl Rodríguez-Pérez, Juan Martín Gómez González, and Lucia Capra. "Seismic signature of the COVID-19 lockdown at the city scale: a case study with low-cost seismometers in the city of Querétaro, Mexico." Solid Earth 12, no. 3 (March 25, 2021): 713–24. http://dx.doi.org/10.5194/se-12-713-2021.

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Abstract. Seismometers have detected the social response to lockdown measures implemented following the onset of the COVID-19 pandemic in cities around the world. This long-lasting pandemic has been a particular challenge in countries such as Mexico, where the informal economy constitutes most of the working population. This context motivated the monitoring of the mobility of populations throughout the various phases of lockdown measures independently of people's access to the internet and mobile technology. Here we use the variation of anthropogenic seismic noise in the city of Querétaro (central Mexico) recorded by a network of low-cost Raspberry Shake seismic stations to study the spatial and temporal variation of human activity in the city throughout the pandemic and during sporting events. The results emphasize the importance of densifying urban seismic networks and of tracking human activities without the privacy concerns associated with mobile technology.

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Lee, Min Kyung. "Understanding perception of algorithmic decisions: Fairness, trust, and emotion in response to algorithmic management." Big Data & Society 5, no. 1 (January 2018): 205395171875668. http://dx.doi.org/10.1177/2053951718756684.

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Algorithms increasingly make managerial decisions that people used to make. Perceptions of algorithms, regardless of the algorithms' actual performance, can significantly influence their adoption, yet we do not fully understand how people perceive decisions made by algorithms as compared with decisions made by humans. To explore perceptions of algorithmic management, we conducted an online experiment using four managerial decisions that required either mechanical or human skills. We manipulated the decision-maker (algorithmic or human), and measured perceived fairness, trust, and emotional response. With the mechanical tasks, algorithmic and human-made decisions were perceived as equally fair and trustworthy and evoked similar emotions; however, human managers' fairness and trustworthiness were attributed to the manager's authority, whereas algorithms' fairness and trustworthiness were attributed to their perceived efficiency and objectivity. Human decisions evoked some positive emotion due to the possibility of social recognition, whereas algorithmic decisions generated a more mixed response – algorithms were seen as helpful tools but also possible tracking mechanisms. With the human tasks, algorithmic decisions were perceived as less fair and trustworthy and evoked more negative emotion than human decisions. Algorithms' perceived lack of intuition and subjective judgment capabilities contributed to the lower fairness and trustworthiness judgments. Positive emotion from human decisions was attributed to social recognition, while negative emotion from algorithmic decisions was attributed to the dehumanizing experience of being evaluated by machines. This work reveals people's lay concepts of algorithmic versus human decisions in a management context and suggests that task characteristics matter in understanding people's experiences with algorithmic technologies.

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Kamleshwar, Sahil. "Robotics and Automation." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (July 30, 2021): 2852–56. http://dx.doi.org/10.22214/ijraset.2021.35723.

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Cloud infrastructure and its extensive set of Internet-enabled resources have the potential to provide significant benefits to robots and flexible systems. We look for robots and data-switching programs or code from the network to support their performance, that is, when not all sense, calculation, and memory are integrated into the standalone system. This survey is designed for four possible Cloud benefits: 1) Big Data: access to photo libraries, maps, trajectories, and descriptive data; 2) Cloud Computing: access to the same grid computer with the demand for mathematical analysis, reading, and movement planning; 3) Integrated Robots Learning: robots that share tracking, control policies, and results; and 4) Census: use of crowdourcing to tap people's skills for image and video analysis, classification, reading, and error retrieval. The cloud can also improve robots and flexible systems by providing access to: a) data sets, publications, models, measurements, and simulation tools; b) open competitions for designs and programs; and c) open source software.

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Gurgu, Elena, Ioana-Andreea Gurgu, and Rocsana B. Manea Tonis. "Neuromarketing for a better understanding of consumer needs and emotions." Independent Journal of Management & Production 11, no. 1 (February 1, 2020): 208. http://dx.doi.org/10.14807/ijmp.v11i1.993.

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In this paper we are talking about the fact that marketing and publicity specialists have become aware of the limitations of traditional market research methods for decades, but only in recent years science has allowed the development of a more effective mechanism by which consumers' thoughts can be deciphered: neuromarketing. This term refers to the use of techniques developed by cognitive neuroscience and psychology specialists to analyze and understand people's reactions to products and promotions, which allows refining marketing efforts to make them more effective. In the article we are talking about the tools used for this purpose, which include magnetic resonance imaging (MRI), brain scanners that identify brain parts that react to different stimuli, and electroencephalography (EEG), devices that measure electrical activity in the brain. By tracking brain reactions to different stimuli, researchers can discover the marketing mechanisms that are most likely to lead to the desired outcome: selling the product. For this, in parallel with the EEG measurements, an eye-tracking device is used, which allows the exact identification of the stimulus that produces the reaction from that moment. Also, some neuromarketing companies also use GSR (galvanic skin response) sensors to measure the electrical conductivity of the skin, which is another element that provides information about the consumer's response to various commercial messages. The purpose of our article is to show the role played by neuromarketing in the correct understanding of consumer needs, words and emotions.

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Müller, Sandrine R., Heinrich Peters, Sandra C. Matz, Weichen Wang, and Gabriella M. Harari. "Investigating the Relationships between Mobility Behaviours and Indicators of Subjective Well–Being Using Smartphone–Based Experience Sampling and GPS Tracking." European Journal of Personality 34, no. 5 (September 2020): 714–32. http://dx.doi.org/10.1002/per.2262.

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People interact with their physical environments every day by visiting different places and moving between them. Such mobility behaviours likely influence and are influenced by people's subjective well–being. However, past research examining the links between mobility behaviours and well–being has been inconclusive. Here, we provide a comprehensive investigation of these relationships by examining individual differences in two types of mobility behaviours (movement patterns and places visited) and their relationship to six indicators of subjective well–being (depression, loneliness, anxiety, stress, affect, and energy) at two different temporal levels of analysis (two–week tendencies and daily level). Using data from a large smartphone–based longitudinal study ( N = 1765), we show that (i) movement patterns assessed via GPS data (distance travelled, entropy, and irregularity) and (ii) places visited assessed via experience sampling reports (home, work, and social places) are associated with subjective well–being at the between and within person levels. Our findings suggest that distance travelled is related to anxiety, affect, and stress, irregularity is related to depression and loneliness, and spending time in social places is negatively associated with loneliness. We discuss the implications of our work and highlight directions for future research on the generalizability to other populations as well as the characteristics of places. © 2020 European Association of Personality Psychology

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Onsrud, Harlan, and James Campbell. "Being Human in an Algorithmically Controlled World." International Journal of Humanities and Arts Computing 14, no. 1-2 (March 2020): 235–52. http://dx.doi.org/10.3366/ijhac.2020.0254.

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Most people in developed countries, and many in developing countries, interact with Artificial Intelligence (AI) developed algorithms on an almost daily basis, yet very few are aware of those interactions or of their effect upon people's daily lives. 1 Using machine learning, automated reasoning, and other forms of AI, algorithms deployed in information systems take actions according to criteria set up by software developers to maximize profits regardless of the overall effects on the autonomy or welfare of individuals or on society as a whole. 2 Those criteria almost always involve location-based and place-based data. In this paper, we consider effects of those computational tools on individual choice and autonomy and on societal structure from the humanistic perspectives of philosophy and jurisprudence. Specifically, we: • review contemporaneous literature and quantitative economic evidence on the effects of pervasive tracking and algorithmic controls on individuals and on society in general, • summarize a range of suggested solutions for lessening the adverse effects, and • describe and expand upon selected legal solutions from the literature.

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Jiang, Yifei, Kun Li, Ricardo Piedrahita, Xiang Yun, Lei Tian, Omkar M. Mansata, Qin Lv, Robert P. Dick, Michael Hannigan, and Li Shang. "User-Centric Indoor Air Quality Monitoring on Mobile Devices." AI Magazine 34, no. 2 (June 21, 2013): 11. http://dx.doi.org/10.1609/aimag.v34i2.2472.

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Since people spend a majority of their time indoors, indoor air quality (IAQ) can have a significant impact on human health, safety, productivity, and comfort. Due to the diversity and dynamics of people's indoor activities, it is important to monitor IAQ for each individual. Most existing air quality sensing systems are stationary or focus on outdoor air quality. In contrast, we propose MAQS, a user-centric mobile sensing system for IAQ monitoring. MAQS users carry portable, indoor location tracking and IAQ sensing devices that provide personalized IAQ information in real time. To improve accuracy and energy efficiency, MAQS incorporates three novel techniques: (1) an accurate temporal n-gram augmented Bayesian room localization method that requires few Wi-Fi fingerprints; (2) an air exchange rate based IAQ sensing method, which measures general IAQ using only CO$_2$ sensors; and (3) a zone-based proximity detection method for collaborative sensing, which saves energy and enables data sharing among users. MAQS has been deployed and evaluated via a real-world user study. This evaluation demonstrates that MAQS supports accurate personalized IAQ monitoring and quantitative analysis with high energy efficiency. We also found that study participants frequently experienced poor IAQ.

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Xie, Huosheng, Hongwen Luo, Jie Lin, and Ning Yang. "A novel algorithm of fast CPR quality evaluation based on kinect." Journal of Algorithms & Computational Technology 14 (January 2020): 174830262098366. http://dx.doi.org/10.1177/1748302620983661.

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Human action recognition is a very popular field in computer vision research, and the research results are widely used in people's lives. This paper explores Kinect-based algorithm of human action recognition and applies it to the quality evaluation of cardiopulmonary resuscitation (CPR) operation. At present, the main means of CRP training is through physical auxiliary equipment, which has a large limitation and can only be carried out under specific conditions. CPR simulation training under general conditions can be effectively carried out by means of computer vision, which is a strategy worth popularizing. Using Kinect's powerful skeleton tracking capabilities to obtain key human skeleton data and then perform fine-grained human action analysis. Our model can obtain the critical compression depth (CCD) and compression frequency (CCF) of CPR. Compared with the-state-of-the-art, our algorithm has better stability and real-time performance. At the same time, our algorithm improves the time efficiency by about 60% while guaranteeing high accuracy. In addition, we guide the human body to perform standard movements by setting joint angle specifications.Moreover, our system has been proven to be valid by professional medical staff.

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Alencar, Pedro Henrique Silva de, Noé do Carmo Bezerra, and Karoline Giele Martins de Aguiar. "RELATO DE EXPERIÊNCIA: PROCESSO DE AVALIAÇÃO PSICOLÓGICA EM UM CENTRO DE REFERÊNCIA DE ASSISTÊNCIA SOCIAL (CRAS)." Psicologia e Saúde em Debate 7, no. 1 (May 27, 2021): 268–79. http://dx.doi.org/10.22289/2446-922x.v7n1a19.

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The CRAS psychologist works with the prevention and strengthening of bonds, whether individually or collectively, in the context of social vulnerability based on interventions that promote basic protection, based on ethical thinking that guarantees the realization of people's rights. The study is a report of an internship experience in Psychological Assessment and Psychodiagnosis developed by academics from the 7th period of the Psychology course, aiming to discuss the practice of the Psychological Assessment process, in the activity of the Public Policy psychology professional assistants. The internship took place between the months of August and December 2020 at a Reference Center for Social Assistance in a peripheral neighborhood in a city in the interior of the state of Maranhão, after authorization from the Ministry of Education - MEC, for the return of curricular internships. caused by COVID-19 contingencies. The experience of conducting the internship in psychological assessment in a public institution like CRAS is challenging for any student of psychology, since the institution does not provide the appropriate physical, structural and instrumental environment for the psychological assessment process, being successful in tracking users of the service that needed psychological interventions and were referred to health services. Keywords: Internship; Public policy; Psychological Assessment; Psychology and Social Assistance.

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Zhang, Longxiang, Peng Chen, and Haitao Sun. "Prediction and analysis of 220kV substation based on geometric acoustic simulation." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 263, no. 1 (August 1, 2021): 5142–46. http://dx.doi.org/10.3397/in-2021-2978.

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With the continuous improvement of people's living standards, the city has gradually formed a residential community with high residential density. In order to meet the power demand of the community, each new community basically needs to establish a supporting indoor substation according to the power load of the residents. Considering the residents' electricity habits, the electricity room of the supporting substation in the residential area works 24 hours a day, resulting in frequent noise nuisance incidents. Therefore, the detailed analysis of the indoor noise distribution and the radiated noise from the envelope surface of the substation has a positive significance for the reasonable control of substation noise. In this paper, the method of combining indoor and outdoor simulation is used to predict the 220 kV indoor substation noise. The indoor noise is simulated by Odeon software, and the outdoor noise is simulated by Cadna / a software, the two kinds of software are also based on the virtual sound source and sound ray tracking method of geometric acoustics. Firstly, the noise spectrum of each wall is calculated by Odeon software, and then the noise spectrum is interpolated and attenuated according to the sound insulation spectrum of the composite wall. The calculated spectrum is used as the plane source intensity for noise prediction in Cadna / a software, and finally the noise value of sensitive points at the boundary of substation can be predicted.

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ZEITLER, ELISABETH, and LAURIE BUYS. "Mobility and out-of-home activities of older people living in suburban environments: ‘Because I'm a driver, I don't have a problem'." Ageing and Society 35, no. 4 (February 4, 2014): 785–808. http://dx.doi.org/10.1017/s0144686x13001086.

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ABSTRACTGovernments are challenged by the need to ensure that ageing populations stay active and engaged as they age. Therefore, it is critical to investigate the role of mobility in older people's engagement in out-of-home activities, and to identify the experiences they have within their communities. This research investigates the use of transportation by older people and its implications for their out-of-home activities within suburban environments. The qualitative, mixed-method approach employs data collection methods which include a daily travel diary (including a questionnaire), Global Positioning System (GPS) tracking and semi-structured interviews with older people living in suburban environments in Brisbane, Australia. Results show that older people are mobile throughout the city, and their car provides them with that opportunity to access desired destinations. This ability to drive allows older people to live independently and to assist others who do not drive, particularly where transport alternatives are not as accessible. The ability to transport goods and other people is a significant advantage of the private car over other transport options. People with no access to private transportation who live in low-density environments are disadvantaged when it comes to participation within the community. Further research is needed to better understand the relationship between transportation and participation within the community environment, to assist policy makers and city and transportation planners to develop strategies for age-friendly environments within the community.

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Jimenez, Alberto Jimenez, Rosa M. Estevez-Reboredo, Miguel A. Santed, and Victoria Ramos. "COVID-19 Symptom-Related Google Searches and Local COVID-19 Incidence in Spain: Correlational Study." Journal of Medical Internet Research 22, no. 12 (December 18, 2020): e23518. http://dx.doi.org/10.2196/23518.

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Background COVID-19 is one of the biggest pandemics in human history, along with other disease pandemics, such as the H1N1 influenza A, bubonic plague, and smallpox pandemics. This study is a small contribution that tries to find contrasted formulas to alleviate global suffering and guarantee a more manageable future. Objective In this study, a statistical approach was proposed to study the correlation between the incidence of COVID-19 in Spain and search data provided by Google Trends. Methods We assessed the linear correlation between Google Trends search data and the data provided by the National Center of Epidemiology in Spain—which is dependent on the Instituto de Salud Carlos III—regarding the number of COVID-19 cases reported with a certain time lag. These data enabled the identification of anticipatory patterns. Results In response to the ongoing outbreak, our results demonstrate that by using our correlation test, the evolution of the COVID-19 pandemic can be predicted in Spain up to 11 days in advance. Conclusions During the epidemic, Google Trends offers the possibility to preempt health care decisions in real time by tracking people's concerns through their search patterns. This can be of great help given the critical, if not dramatic need for complementary monitoring approaches that work on a population level and inform public health decisions in real time. This study of Google search patterns, which was motivated by the fears of individuals in the face of a pandemic, can be useful in anticipating the development of the pandemic.

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Geldsetzer, Pascal. "Use of Rapid Online Surveys to Assess People's Perceptions During Infectious Disease Outbreaks: A Cross-sectional Survey on COVID-19." Journal of Medical Internet Research 22, no. 4 (April 2, 2020): e18790. http://dx.doi.org/10.2196/18790.

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Background Given the extensive time needed to conduct a nationally representative household survey and the commonly low response rate of phone surveys, rapid online surveys may be a promising method to assess and track knowledge and perceptions among the general public during fast-moving infectious disease outbreaks. Objective This study aimed to apply rapid online surveying to determine knowledge and perceptions of coronavirus disease 2019 (COVID-19) among the general public in the United States and the United Kingdom. Methods An online questionnaire was administered to 3000 adults residing in the United States and 3000 adults residing in the United Kingdom who had registered with Prolific Academic to participate in online research. Prolific Academic established strata by age (18-27, 28-37, 38-47, 48-57, or ≥58 years), sex (male or female), and ethnicity (white, black or African American, Asian or Asian Indian, mixed, or “other”), as well as all permutations of these strata. The number of participants who could enroll in each of these strata was calculated to reflect the distribution in the US and UK general population. Enrollment into the survey within each stratum was on a first-come, first-served basis. Participants completed the questionnaire between February 23 and March 2, 2020. Results A total of 2986 and 2988 adults residing in the United States and the United Kingdom, respectively, completed the questionnaire. Of those, 64.4% (1924/2986) of US participants and 51.5% (1540/2988) of UK participants had a tertiary education degree, 67.5% (2015/2986) of US participants had a total household income between US $20,000 and US $99,999, and 74.4% (2223/2988) of UK participants had a total household income between £15,000 and £74,999. US and UK participants’ median estimate for the probability of a fatal disease course among those infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was 5.0% (IQR 2.0%-15.0%) and 3.0% (IQR 2.0%-10.0%), respectively. Participants generally had good knowledge of the main mode of disease transmission and common symptoms of COVID-19. However, a substantial proportion of participants had misconceptions about how to prevent an infection and the recommended care-seeking behavior. For instance, 37.8% (95% CI 36.1%-39.6%) of US participants and 29.7% (95% CI 28.1%-31.4%) of UK participants thought that wearing a common surgical mask was “highly effective” in protecting them from acquiring COVID-19, and 25.6% (95% CI 24.1%-27.2%) of US participants and 29.6% (95% CI 28.0%-31.3%) of UK participants thought it was prudent to refrain from eating at Chinese restaurants. Around half (53.8%, 95% CI 52.1%-55.6%) of US participants and 39.1% (95% CI 37.4%-40.9%) of UK participants thought that children were at an especially high risk of death when infected with SARS-CoV-2. Conclusions The distribution of participants by total household income and education followed approximately that of the US and UK general population. The findings from this online survey could guide information campaigns by public health authorities, clinicians, and the media. More broadly, rapid online surveys could be an important tool in tracking the public’s knowledge and misperceptions during rapidly moving infectious disease outbreaks.

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LEE, Jae Hoon, Takashi TSUBOUCHI, Kenjiro YAMAMOTO, and Saku EGAWA. "2P2-E05 People Tracking and Trajectory Planning for a Mobile Robot." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2006 (2006): _2P2—E05_1—_2P2—E05_4. http://dx.doi.org/10.1299/jsmermd.2006._2p2-e05_1.

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Said, Mohamed Ahmed. "Novel Vision-based Thermal People Counting Tool for Tracking Infected People with Viruses Like COVID-19." Journal of Advanced Research in Dynamical and Control Systems 12, SP7 (July 25, 2020): 1115–19. http://dx.doi.org/10.5373/jardcs/v12sp7/20202210.

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Lewandowsky, Stephan, Simon Dennis, Andrew Perfors, Yoshihisa Kashima, Joshua P. White, Paul Garrett, Daniel R. Little, and Muhsin Yesilada. "Public acceptance of privacy-encroaching policies to address the COVID-19 pandemic in the United Kingdom." PLOS ONE 16, no. 1 (January 22, 2021): e0245740. http://dx.doi.org/10.1371/journal.pone.0245740.

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The nature of the COVID-19 pandemic may require governments to use privacy-encroaching technologies to help contain its spread. One technology involves co-location tracking through mobile Wi-Fi, GPS, and Bluetooth to permit health agencies to monitor people’s contact with each other, thereby triggering targeted social-distancing when a person turns out to be infected. The effectiveness of tracking relies on the willingness of the population to support such privacy encroaching measures. We report the results of two large surveys in the United Kingdom, conducted during the peak of the pandemic, that probe people’s attitudes towards various tracking technologies. The results show that by and large there is widespread acceptance for co-location tracking. Acceptance increases when the measures are explicitly time-limited and come with opt-out clauses or other assurances of privacy. Another possible future technology to control the pandemic involves “immunity passports”, which could be issued to people who carry antibodies for the COVID-19 virus, potentially implying that they are immune and therefore unable to spread the virus to other people. Immunity passports have been considered as a potential future step to manage the pandemic. We probe people’s attitudes towards immunity passports and find considerable support overall, although around 20% of the public strongly oppose passports.

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Junaedi, Dedi, and Yanti Hasbian Setiawati. "SOLUSI ALTERNATIF MENGATASI PARADOK PEMBANGUNAN:." Reslaj : Religion Education Social Laa Roiba Journal 1, no. 2 (December 20, 2019): 103–32. http://dx.doi.org/10.47467/reslaj.v1i2.104.

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ABSTRACT The aim of the research is to conduct a critical analysis of the paradox of development in Indonesia. from time to time, while looking for alternative solutions in the perspective of Islamic economic thought. This study is to answer the problem: Why does the megadiversity that is owned do not provide welfare and prosperity for most of its citizens. Why natural wealth has not given much blessing and benefit; What and how Islamic economic thought answers the issue. The research method used is qualitative descriptive analysis and tracking of Islamic economic literacy. The data used is a combination of primary and secondary data from various reference sources: books, journals and printed and online mass media literacy. The results of the study show that from year to year, in the alternation of the ruling political regime, the Indonesian economy grew positively. Statistically, the value of our Gross Domestic Product (GDP) continues to increase. Even so per capita income always rises from time to time. However, there are still dozens of Indonesians who are still classified as poor. Improved economic growth after the global economic crisis did not provide prosperity, justice and benefit evenly. The gap is still wide open between rich-poor, city-area, West-East region. This happened because there was something wrong in the management of natural resources, the corrupt behavior of state and regional administrators, the unequal development between Java and outside Java, between the West and the East, the dominance of foreign capitalist companies, the optimal excavation and management of ZISWAF, and still not yet grounded the application of Islamic economics in Indonesia. So, to get out of the problem and improve from the chronic problem, six strategic steps are needed: (1) to eradicate KKN indiscriminately in all SOEs and government bureaucracy; (2) improvements in the management of the country's wealth resources; (3) it is necessary to design policies and budgets to accelerate poverty and inequality reduction, by allocating more funds to projects that absorb a lot; (4) reviewing policies that are not pro-people; (5) optimizing and maximizing the excavation and management of zakat, infaq, alms and endowments (ZISWAF); (6) facilitating Islamic economic and financial growth. Keywords: development paradigm, growth, poverty, Islamic economy, people's welfare.

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McKenna, Stephen J., Sumer Jabri, Zoran Duric, Azriel Rosenfeld, and Harry Wechsler. "Tracking Groups of People." Computer Vision and Image Understanding 80, no. 1 (October 2000): 42–56. http://dx.doi.org/10.1006/cviu.2000.0870.

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Luber, Matthias, Gian Diego Tipaldi, and Kai O. Arras. "Place-dependent people tracking." International Journal of Robotics Research 30, no. 3 (January 17, 2011): 280–93. http://dx.doi.org/10.1177/0278364910393538.

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Rudenko, Sergey, Nina Danilina, and Borislav Hristov. "Using a mobile eye-tracking technology to explore pedestrians’ gaze distribution on street space." E3S Web of Conferences 263 (2021): 05015. http://dx.doi.org/10.1051/e3sconf/202126305015.

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The paper deals with the question of smart sustainable city development on the example of public city street space study using a modern mobile eye-tracking technology. The article presents a methodology to obtain data on the distribution of human gaze on dynamic and static objects located on urban streets as well as computer technologies that are used for the acquisition and processing of data. With the help of these technologies, it is possible to study people’s behavior in dynamic environments and to obtain results describing the nature of the pedestrians’ perception of their surrounding space. The results of a survey on urban streets in Berlin using a mobile eye tracking system are shown in this paper. Based on the results of the study, a list of objects that catch people’s attention and a numerical description of the gaze distribution are presented.

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Chen, Tian Ding, Jian Hu, Chao Lu, and Zhong Jiao He. "Moving Target Tracking Using Sparse Optical Flow Method." Advanced Materials Research 718-720 (July 2013): 2335–39. http://dx.doi.org/10.4028/www.scientific.net/amr.718-720.2335.

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Moving target tracking is a hot research spot of computer vision and applied in various fields. In this paper, a new tracking method base on sparse optical flow is put forward. In this method, targets are tracked through calculating the movements of Harris corner points, rather than the movements of all pixel points. Experiments results show that the tracking effect of this new method is pretty good. Tracking accuracy can reach more than 80% in most experimental conditions. And according to other peoples research production, experiments based on dense optical flow are done to compare with the new method proposed in this paper. The comparison results show that the new method has high calculation efficiency. This indicates that the method has feasibility and practical value.

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Fuentes, Luis M., and Sergio A. Velastin. "People tracking in surveillance applications." Image and Vision Computing 24, no. 11 (November 2006): 1165–71. http://dx.doi.org/10.1016/j.imavis.2005.06.006.

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LU, Jian-guo, and An-ni CAI. "Tracking people through partial occlusions." Journal of China Universities of Posts and Telecommunications 16, no. 2 (April 2009): 117–21. http://dx.doi.org/10.1016/s1005-8885(08)60215-0.

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Elgammal, A., and Chan-Su Lee. "Tracking People on a Torus." IEEE Transactions on Pattern Analysis and Machine Intelligence 31, no. 3 (March 2009): 520–38. http://dx.doi.org/10.1109/tpami.2008.101.

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Wu, Yi-Chang, Ching-Han Chen, Yao-Te Chiu, and Pi-Wei Chen. "Cooperative People Tracking by Distributed Cameras Network." Electronics 10, no. 15 (July 25, 2021): 1780. http://dx.doi.org/10.3390/electronics10151780.

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In the application of video surveillance, reliable people detection and tracking are always challenging tasks. The conventional single-camera surveillance system may encounter difficulties such as narrow-angle of view and dead space. In this paper, we proposed multi-cameras network architecture with an inter-camera hand-off protocol for cooperative people tracking. We use the YOLO model to detect multiple people in the video scene and incorporate the particle swarm optimization algorithm to track the person movement. When a person leaves the area covered by a camera and enters an area covered by another camera, these cameras can exchange relevant information for uninterrupted tracking. The motion smoothness (MS) metrics is proposed for evaluating the tracking quality of multi-camera networking system. We used a three-camera system for two persons tracking in overlapping scene for experimental evaluation. Most tracking person offsets at different frames were lower than 30 pixels. Only 0.15% of the frames showed abrupt increases in offsets pixel. The experiment results reveal that our multi-camera system achieves robust, smooth tracking performance.

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Yang, Shihao, Mauricio Santillana, and S. C. Kou. "Accurate estimation of influenza epidemics using Google search data via ARGO." Proceedings of the National Academy of Sciences 112, no. 47 (November 9, 2015): 14473–78. http://dx.doi.org/10.1073/pnas.1515373112.

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Accurate real-time tracking of influenza outbreaks helps public health officials make timely and meaningful decisions that could save lives. We propose an influenza tracking model, ARGO (AutoRegression with GOogle search data), that uses publicly available online search data. In addition to having a rigorous statistical foundation, ARGO outperforms all previously available Google-search–based tracking models, including the latest version of Google Flu Trends, even though it uses only low-quality search data as input from publicly available Google Trends and Google Correlate websites. ARGO not only incorporates the seasonality in influenza epidemics but also captures changes in people’s online search behavior over time. ARGO is also flexible, self-correcting, robust, and scalable, making it a potentially powerful tool that can be used for real-time tracking of other social events at multiple temporal and spatial resolutions.

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Ruckenstein, Minna, and Mika Pantzar. "Datafied Life." Techné: Research in Philosophy and Technology 19, no. 2 (2015): 191–210. http://dx.doi.org/10.5840/techne20159935.

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Techno-Anthropology recognizes the intertwining of technology with aims, needs, practices, and skills; ‘the techno’ and ‘the anthro’ are not only interconnected, but historically co-constituted. In this paper developments in ‘personal analytics’ are examined with the aim of proposing epistemological and methodological directions for Techno-Anthropological exploration. Personal analytics refers to the field of interactions that surrounds tracking various bodily and mental functions, including the analysis, visualization, and distribution of the data, thereby encompassing people’s involvements with measuring devices and data movements. By discussing findings from a self-tracking study that focused on heart-rate variability measurement, the article opens for scrutiny ways in which personal data can translate people’s selves into a format that is engaging and actionable. This, in turn, enables researchers to witness and critically assess a terrain where bodily and mental capacities, and life itself, are not taken as given, but become part of the processes of everyday sense-making and contestation.

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Gong, Faming, Hanbing Yue, Xiangbing Yuan, Wenjuan Gong, and Tao Song. "Discriminative Correlation Filter for Long-Time Tracking." Computer Journal 63, no. 3 (May 24, 2019): 460–68. http://dx.doi.org/10.1093/comjnl/bxz049.

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Abstract Object tracking is a very important step in building an intelligent video monitoring system that can protect people’s lives and property. In recent years, although visual tracking has made great progress in terms of speed and accuracy, there are still few real-time high-precision tracking algorithms. Although discriminative correlation filters have excellent performance in tracking speed, there are deficiencies in handling fast motion. This leads to the inability to achieve long-term stable tracking results. The long-time tracking with discriminative correlation filter (LT-DCF) was proposed to solve these deficiencies. We use larger size detection image blocks and smaller size filters to increase the proportion of real samples to solve the boundary effects of fast motion. And we combine the histogram of oriented gradient (HOG) feature detection and scale-invariant feature transform (SIFT) key point detection to solve the obstacles caused by scale variations. The detector with deep feature flow is then incorporated into the tracker to detect key frames to improve tracking accuracy. This method has achieved more than 75% of the distance accuracy and 70% of the overlapping success rate on the VOT2015 and VOT2016 datasets, and the stable tracking video length can reach 6895 frames.

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NISHIO, Azusa, Atsushi TSUJI, Masafumi HASHIMOTO, and Kazuhiko TAKAHASHI. "2102 Study on People Tracking by Infra-Laser Scanner : Tracking of People in a Group." Proceedings of the Transportation and Logistics Conference 2014.23 (2014): 267–70. http://dx.doi.org/10.1299/jsmetld.2014.23.267.

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Poiesi, Fabio, Riccardo Mazzon, and Andrea Cavallaro. "Multi-target tracking on confidence maps: An application to people tracking." Computer Vision and Image Understanding 117, no. 10 (October 2013): 1257–72. http://dx.doi.org/10.1016/j.cviu.2012.08.008.

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Davies, E. R. "Guest Editorial – Advances in people tracking." Pattern Recognition Letters 32, no. 6 (April 2011): 866. http://dx.doi.org/10.1016/j.patrec.2011.01.007.

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Ramanan, Deva, David A. Forsyth, and Andrew Zisserman. "Tracking People by Learning Their Appearance." IEEE Transactions on Pattern Analysis and Machine Intelligence 29, no. 1 (January 2007): 65–81. http://dx.doi.org/10.1109/tpami.2007.250600.

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Coppi, Dalia, Simone Calderara, and Rita Cucchiara. "Transductive People Tracking in Unconstrained Surveillance." IEEE Transactions on Circuits and Systems for Video Technology 26, no. 4 (April 2016): 762–75. http://dx.doi.org/10.1109/tcsvt.2015.2416555.

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Weiming Hu, Xue Zhou, Min Hu, and S. Maybank. "Occlusion Reasoning for Tracking Multiple People." IEEE Transactions on Circuits and Systems for Video Technology 19, no. 1 (January 2009): 114–21. http://dx.doi.org/10.1109/tcsvt.2008.2009249.

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Journal articles on the topic 'People's tracking'

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