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Relevant bibliographies by topics / Movement detection system

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Academic literature on the topic 'Movement detection system'

Author: Grafiati

Published: 4 June 2021

Last updated: 17 February 2022

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Journal articles on the topic "Movement detection system"

1

Kozhekin, Nikita, Ichiro Hagiwara, Mikhail Senin, and Vladimir Savchenko. "Simple CSRBF animation system with movement interpolation and collision detection." Proceedings of Design & Systems Conference 2004.14 (2004): 99–100. http://dx.doi.org/10.1299/jsmedsd.2004.14.99.

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Kozhekin, N., I. Hagiwara, M. Senin, and V. Savchenko. "Simple CSRBF animation system with movement interpolation and collosion detection." Proceedings of The Computational Mechanics Conference 2004.17 (2004): 213–14. http://dx.doi.org/10.1299/jsmecmd.2004.17.213.

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Nakano, T. "System for driver's eye movement detection." JSAE Review 16, no. 1 (1995): 74–76. http://dx.doi.org/10.1016/0389-4304(94)00054-w.

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Mohd Tamil, Emran, Ti Siang Tey, Mohd Rais Mustafa, Mohd Yamani Idna Idris, and Mohd Hairul Nizam Md Nasir. "Automated Clinical Research Mice Movement Detection System." International Journal of Technology, Knowledge, and Society 4, no. 6 (2008): 63–76. http://dx.doi.org/10.18848/1832-3669/cgp/v04i06/55953.

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Felisberto, Filipe, Rosalía Laza, Florentino Fdez-Riverola, and António Pereira. "A Distributed Multiagent System Architecture for Body Area Networks Applied to Healthcare Monitoring." BioMed Research International 2015 (2015): 1–17. http://dx.doi.org/10.1155/2015/192454.

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In the last years the area of health monitoring has grown significantly, attracting the attention of both academia and commercial sectors. At the same time, the availability of new biomedical sensors and suitable network protocols has led to the appearance of a new generation of wireless sensor networks, the so-called wireless body area networks. Nowadays, these networks are routinely used for continuous monitoring of vital parameters, movement, and the surrounding environment of people, but the large volume of data generated in different locations represents a major obstacle for the appropria

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Srikanth, K. "Alert System for Fall Detection." International Journal for Research in Applied Science and Engineering Technology 9, no. 8 (2021): 1739–47. http://dx.doi.org/10.22214/ijraset.2021.37658.

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Abstract: Healthcare is one of the most important industries, yet new ideas must travel a long way before being fully adopted due to its complexity, scope of duty, and stringent laws. The Internet of Things (IoT) may be the key to resolving healthcare challenges. The Internet of Things (IoT) has a lot of potential in healthcare, but it's still in its early stages. With the advancement of medical IoT, new possibilities for telemedicine, remote monitoring of a patient's status, and much more will emerge. Falling is a significant health danger for the elderly. If the problem is not detected in a

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Che, Zhong-Yong, and Sangchul Kim. "A Surveillance System Using Images and Movement Detection Sensors." Journal of the Institute of Webcasting, Internet and Telecommunication 13, no. 1 (2013): 181–89. http://dx.doi.org/10.7236/jiibc.2013.13.1.181.

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Baec, Sung-Ho, Min-Sik Jeon, and Bong-Jin Ko. "Implementation of Movement Detection System for Patient on Bed." Journal of Korea Navigation Institute 19, no. 5 (2015): 458–63. http://dx.doi.org/10.12673/jant.2015.19.5.458.

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Lin, Chih-Lung, Wen-Ching Chiu, Ting-Ching Chu, et al. "Innovative Head-Mounted System Based on Inertial Sensors and Magnetometer for Detecting Falling Movements." Sensors 20, no. 20 (2020): 5774. http://dx.doi.org/10.3390/s20205774.

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This work presents a fall detection system that is worn on the head, where the acceleration and posture are stable such that everyday movement can be identified without disturbing the wearer. Falling movements are recognized by comparing the acceleration and orientation of a wearer’s head using prespecified thresholds. The proposed system consists of a triaxial accelerometer, gyroscope, and magnetometer; as such, a Madgwick’s filter is adopted to improve the accuracy of the estimation of orientation. Moreover, with its integrated Wi-Fi module, the proposed system can notify an emergency contac

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Lin, Chin-Teng, Wei-Ling Jiang, Sheng-Fu Chen, Kuan-Chih Huang, and Lun-De Liao. "Design of a Wearable Eye-Movement Detection System Based on Electrooculography Signals and Its Experimental Validation." Biosensors 11, no. 9 (2021): 343. http://dx.doi.org/10.3390/bios11090343.

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In the assistive research area, human–computer interface (HCI) technology is used to help people with disabilities by conveying their intentions and thoughts to the outside world. Many HCI systems based on eye movement have been proposed to assist people with disabilities. However, due to the complexity of the necessary algorithms and the difficulty of hardware implementation, there are few general-purpose designs that consider practicality and stability in real life. Therefore, to solve these limitations and problems, an HCI system based on electrooculography (EOG) is proposed in this study.

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Dissertations / Theses on the topic "Movement detection system"

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Liu, Yi. "Movement detection in outdoor scenes for traffic monitoring." Thesis, University of Ottawa (Canada), 2004. http://hdl.handle.net/10393/26698.

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One important application of image processing and computer vision is traffic monitoring and control. In this thesis, a system for detection of moving vehicles approaching an intersection from a sequence of color images acquired by a stationary camera in the context of traffic light control systems is presented. As the system is dedicated to outdoor applications, efficient and robust vehicle detection under various weather and illumination conditions is examined. To deal with these ever changing conditions, vehicle detection relies on motion segmentation and on an original algorithm using color

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Zhu, Shiping. "Robust detection of object movement by a mobile camera system." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp04/mq28696.pdf.

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Blanchard, Jonathan Mark. "Collision avoidance : a biologically inspired neural network for the detection of approaching objects." Thesis, University of Newcastle upon Tyne, 1998. http://hdl.handle.net/10443/3590.

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The frequently studied lobula giant movement detector (LGMD) system of the locust responds most strongly to approaching objects. This thesis describes simulations which were designed with the ultimate aim of constructing a comprehensive model of the neural circuitry showing the effects of individual neurons on the overall responses of the system. The Rind and Bramwell neural network model of the LGMD was studied using new stimuli which revealed that the responses of the model are dependent on the shape of the stimulus. A modification of the model removes this dependence and allows the model to

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Feng, Dehua. "Determining Intersection Turning Movements with Detection Errors." University of Akron / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=akron1512746695445707.

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Jalloul, Nahed. "Development of a system of acquisition and movement analysis : application on Parkinson's disease." Thesis, Rennes 1, 2016. http://www.theses.fr/2016REN1S096/document.

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Le travail présenté dans ce mémoire porte sur le développement d'un système de surveillance ambulatoire pour la détection de la dyskinésie induite par la Levodopa (LID) chez les patients de la maladie de Parkinson (PD). Le système est composé d’unités de mesure inertielle (IMUs) qui recueillent des signaux de mouvement chez des sujets sains et des patients parkinsoniens. Des méthodes différentes sont évaluées pour la détection de LID avec et sans classification des activités. Les données recueillies auprès des sujets sains sont utilisées pour concevoir un classificateur d'activité fiable. Par

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Uppströmer, Viktor, and Henning Råberg. "Detecting Lateral Movement in Microsoft Active Directory Log Files : A supervised machine learning approach." Thesis, Blekinge Tekniska Högskola, Institutionen för datavetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-18337.

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Cyberattacker utgör ett stort hot för dagens företag och organisationer, med engenomsnittlig kostnad för ett intrång på ca 3,86 miljoner USD. För att minimera kostnaden av ett intrång är det viktigt att detektera intrånget i ett så tidigt stadium som möjligt. Avancerande långvariga hot (APT) är en sofistikerad cyberattack som har en lång närvaro i offrets nätverk. Efter attackerarens första intrång kommer fokuset av attacken skifta till att få kontroll över så många enheter som möjligt på nätverket. Detta steg kallas för lateral rörelse och är ett av de mest kritiska stegen i en APT. Syftet me

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Yekhshatyan, Lora. "Detecting distraction and degraded driver performance with visual behavior metrics." Diss., University of Iowa, 2010. https://ir.uiowa.edu/etd/910.

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Driver distraction contributes to approximately 43% of motor-vehicle crashes and 27% of near-crashes. Rapidly developing in-vehicle technology and electronic devices place additional demands on drivers, which might lead to distraction and diminished capacity to perform driving tasks. This situation threatens safe driving. Technology that can detect and mitigate distraction by alerting drivers could play a central role in maintaining safety. Correctly identifying driver distraction in real time is a critical challenge in developing distraction mitigation systems, and this function has not been

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Al, Mahdawi Basil Mohamed Nouri. "Senior monitoring by using sensors network and optical metrology." Thesis, Bourgogne Franche-Comté, 2017. http://www.theses.fr/2017UBFCD085.

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L’objectif du travail de cette thèse est la contribution au développement de nouvelles techniques dans le domaine dessystèmes de détection sans marqueur pour une utilisation dans trois domaines vitaux de la santé en utilisant des capteursinnovants et peu coûteux. Pour la réalisation de nos objectifs nous avons eu recours principalement à de l’électroniqueembarquées et du traitement du signal en utilisant le capteur Kinect. Des résultats encourageants ont été obtenus et sontprésentés tout au long de cette thèse. Dans la première partie de ce travail, nous présentons un nouveau système desurveil

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Giesel, M., A. Yakovleva, Marina Bloj, A. R. Wade, A. M. Norcia, and J. M. Harris. "Relative contributions to vergence eye movements of two binocular cues for motion-in-depth." Springer Nature Group, 2019. http://hdl.handle.net/10454/17514.

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Yes<br>When we track an object moving in depth, our eyes rotate in opposite directions. This type of “disjunctive” eye movement is called horizontal vergence. The sensory control signals for vergence arise from multiple visual cues, two of which, changing binocular disparity (CD) and inter-ocular velocity differences (IOVD), are specifically binocular. While it is well known that the CD cue triggers horizontal vergence eye movements, the role of the IOVD cue has only recently been explored. To better understand the relative contribution of CD and IOVD cues in driving horizontal vergence, we re

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Mills, Clayton Harry. "Movement and Force Measurement Systems as a Foundation for Biomimetic Research on Insects." Thesis, University of Canterbury. Electrical and Computer Engineering, 2008. http://hdl.handle.net/10092/2895.

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During the undertaken research and development, two major systems were designed. These were; a prototype force sensor, and a movement measurement system. Both the developed systems were designed for the intended field of insect research, but were developed using very different underlying principles. The force measurement system uses the piezo-electric effect induced in piezo-electric bimorph elements to produce a measure of force exerted on the sensor. The movement measurement system on the other hand uses computer vision (CV) techniques to find and track the three dimensional (3D) position of

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Books on the topic "Movement detection system"

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Sharpe, Sybil. Search and surveillance: The movement from evidence to information. Ashgate/Dartmouth, 2000.

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Sharpe, Sybil. Search and Surveillance: The Movement from Evidence to Information. Taylor & Francis Group, 2017.

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Terrigenous Mass Movements Detection Modelling Early Warning And Mitigation Using Geoinformation Technology. Springer, 2012.

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Mohamed Fathy Hassan.* El-Maghraby. Use of geodetic methods in detecting terrain movements with special reference to the global positioning system. 1991.

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Michelle, Sneed, Coachella Valley Water District (Calif.), and Geological Survey (U.S.), eds. Detection and measurement of land subsidence using Global Positioning System and interferometric synthetic aperture radar, Coachella Valley, California, 1996-98. U.S. Dept. of the Interior, U.S. Geological Survey, 2001.

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Mason, Peggy. The Vestibular Sense. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190237493.003.0018.

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The vestibular system contains semicircular canals that respond to angular acceleration and otoconial organs that respond to linear acceleration of the head. Information is sent to the motor system and, under normal circumstances, does not lead to conscious perception. Yet damage to the vestibular system can result in disequilibrium or vertigo, disturbing perceptions that dominate conscious experience. The shared residence of the cochlear and vestibular end organs in the inner ear can give rise to inner ear disorders such as Ménière’s disease. The effect of gravity on the otoconial masses in t

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Phillips, Ian. No More than Meets the Eye. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198722304.003.0009.

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This chapter develops a view of shadows as pure visibilia: objects constitutively and exhaustively connected in nature, existence and qualities to our experience of them. It takes as its stalking horse Sorensen’s very different view, arguing that, contrary to his intended purpose, the hypothesis that shadows are pure visibilia provides a more satisfying account of his striking cases of shadow movement. The claim that shadows are pure visibilia is further motivated by drawing on considerations from aesthetics and vision science. The chapter ends with a puzzle: if shadows do not strictly represe

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Mazer, Jeffrey, and Mitchell M. Levy. Policies, bundles, and protocols in critical care. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0017.

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Recently, the medicine community has been driven to think about patient safety in new ways, and with this new found interest in patient safety, large health care systems and individual institutions have been forced to develop mechanisms to track and measure performance. There is ample evidence that physicians and systems can do better. The tools of this new craft include checklists, protocols, guidelines, and bundles. These tools help to decrease variability in care and enhance the translation of evidence-based medicine to bedside care. Ongoing measurement of both performance and clinical outc

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Mauguière, François, and Luis Garcia-Larrea. Somatosensory and Pain Evoked Potentials. Edited by Donald L. Schomer and Fernando H. Lopes da Silva. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.003.0043.

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This chapter discusses the use of somatosensory evoked potentials (SEPs) and pain evoked potentials for diagnostic purposes. The generators of SEPs following upper limb stimulation have been identified through intracranial recordings, permitting the analysis of somatosensory disorders caused by neurological diseases. Laser activation of fibers involved in thermal and pain sensation has extended the applications of evoked potentials to neuropathic pain disorders. Knowledge of the effects of motor programming, paired stimulations, and simultaneous stimulation of adjacent somatic territories has

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Jacquemyn, Yves, and Anneke Kwee. Antenatal and intrapartum fetal evaluation. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198713333.003.0006.

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Antenatal and intrapartum fetal monitoring aim to identify the beginning of the process of fetal hypoxia before irreversible fetal damage has taken place. Fetal movement counting by the mother has not been reported to be of any benefit. The biophysical profile score, incorporating ultrasound and fetal heart rate monitoring, has not been proven to reduce perinatal mortality in randomized trials. Doppler ultrasound allows the exploration of the perfusion of different fetal organ systems and provides data on possible hypoxia and fetal anaemia. Maternal uterine artery Doppler can be used to select

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Book chapters on the topic "Movement detection system"

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Mendes, Paulo A. S., and A. Paulo Coimbra. "Movement Detection and Moving Object Distinction Based on Optical Flow for a Surveillance System." In Transactions on Engineering Technologies. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8273-8_12.

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Iwamoto, Shinnosuke, Takashi Sakamoto, Toru Nakata, and Toshikazu Kato. "Detection System for Distinguishing Between Initial Reading and Rereading of a Digital Document by Observing Focal Point Movement." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60018-5_8.

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Hwang, Chi Yeon, Geun do Park, Hyang Jun Jeong, et al. "A Portable and User Friendly REM Sleep Detection System Based on Differential Movement of Eyeball Using Optical Sensors." In Communications in Computer and Information Science. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58750-9_32.

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Shin, Jaewan, Dongkyoo Shin, Dongil Shin, Sungmin Her, Soohan Kim, and Myungsoo Lee. "Human Movement Detection Algorithm Using 3-Axis Accelerometer Sensor Based on Low-Power Management Scheme for Mobile Health Care System." In Advances in Grid and Pervasive Computing. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13067-0_12.

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Bessonova, Yulia V., and Alexander A. Oboznov. "Eye Movements and Lie Detection." In Intelligent Human Systems Integration. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-73888-8_25.

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Hatori, Ayaka. "Automatic Movement Detection Using Mobile Phones." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61578-3_50.

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Reda, Radwa, Manal Tantawi, Howida shedeed, and Mohamed F. Tolba. "Analyzing Electrooculography (EOG) for Eye Movement Detection." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-14118-9_18.

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Shameem Sharmina, C. H., and Rajesh Reghunadhan. "Electromyography-Based Detection of Human Hand Movement Gestures." In Algorithms for Intelligent Systems. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5243-4_69.

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Guevara, Cesar, Matilde Santos, and Janio Jadán. "Movement Detection Algorithm for Patients with Hip Surgery." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94120-2_42.

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Li, Ci-Rong, Chie-Yang Kuan, Bing-Zhe He, Wu-En Wu, Chi-Yao Weng, and Hung-Min Sun. "A Security System Based on Door Movement Detecting." In Intelligent Data analysis and its Applications, Volume I. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07776-5_17.

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Conference papers on the topic "Movement detection system"

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Paputungan, Irving Vitra, Mahbub Ramadhan Al Fitri, and Unan Yusmaniar Oktiawati. "Motion and Movement Detection for DIY Home Security System." In 2019 IEEE Conference on Sustainable Utilization and Development in Engineering and Technologies (CSUDET). IEEE, 2019. http://dx.doi.org/10.1109/csudet47057.2019.9214684.

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Fourlas, George K., and Ilias Maglogiannis. "Human movement detection using attitude and heading reference system." In the 7th International Conference. ACM Press, 2014. http://dx.doi.org/10.1145/2674396.2674454.

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Tangsuksant, Watcharin, Chittaphon Aekmunkhongpaisal, Patthiya Cambua, Theekapun Charoenpong, and Theerasak Chanwimalueang. "Directional eye movement detection system for virtual keyboard controller." In 2012 5th Biomedical Engineering International Conference (BMEiCON). IEEE, 2012. http://dx.doi.org/10.1109/bmeicon.2012.6465432.

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Li, Xiao, Yu Yang, Yiming Xu, Chao Wang, and Linyang Li. "Crowd Abnormal Behavior Detection Combining Movement and Emotion Descriptors." In ICNSER2020: The 2nd International Conference On Industrial Control Network And System Engineering Research. ACM, 2020. http://dx.doi.org/10.1145/3411016.3411166.

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Darmakusuma, Reza, Ary S. Prihatmanto, Adi Indrayanto, and Tati L. Mengko. "Pattern recognition of finger movement detection using Support Vector Machine." In 2012 International Conference on System Engineering and Technology (ICSET). IEEE, 2012. http://dx.doi.org/10.1109/icsengt.2012.6339335.

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Izzuddin, T. A., M. A. Ariffin, Z. H. Bohari, R. Ghazali, and M. H. Jali. "Movement intention detection using neural network for quadriplegic assistive machine." In 2015 IEEE International Conference on Control System, Computing and Engineering (ICCSCE). IEEE, 2015. http://dx.doi.org/10.1109/iccsce.2015.7482197.

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Azargoshasb, S., A. H. Korayem, and Sh Tabibian. "A Voice Command Detection system for controlling Movement of SCOUT Robot." In 2018 6th RSI International Conference on Robotics and Mechatronics (IcRoM). IEEE, 2018. http://dx.doi.org/10.1109/icrom.2018.8657523.

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Parzych, M., A. Chmielewska, T. Marciniak, A. Dabrowski, A. Chrostowska, and M. Klincewicz. "Automatic people density maps generation with use of movement detection analysis." In 2013 6th International Conference on Human System Interactions (HSI). IEEE, 2013. http://dx.doi.org/10.1109/hsi.2013.6577798.

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Chaudhary, Mitika, Vinay Prakash, and Neeraj Kumari. "Identification Vehicle Movement Detection in Forest Area using MFCC and KNN." In 2018 International Conference on System Modeling & Advancement in Research Trends (SMART). IEEE, 2018. http://dx.doi.org/10.1109/sysmart.2018.8746936.

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Miron, Casian, Alexandru Pasarica, Dragos Arotaritei, Hariton Costin, Radu Gabriel Bozomitu, and Cristian Rotariu. "Hand gesture detection using a stereo camera system and simulation of movement." In 2017 10th International Symposium on Advanced Topics in Electrical Engineering (ATEE). IEEE, 2017. http://dx.doi.org/10.1109/atee.2017.7905134.

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Reports on the topic "Movement detection system"

1

Ianakiev, Kiril D. SNM Movement Detection / Radiation Sensors and Advanced Materials Portfolio Review RadSensing2011 6Li-Metal Based Neutron Detector Systems for Replacing 3He Gas Proportional Counters. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1072253.

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