Relevant bibliographies by topics / Smart signs

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
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Academic literature on the topic 'Smart signs'

Author: Grafiati
Published: 26 April 2025

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Journal articles on the topic "Smart signs"

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Sayin, Muhammed O., Chung-Wei Lin, Eunsuk Kang, Shinichi Shiraishi, and Tamer Basar. "Reliable Smart Road Signs." IEEE Transactions on Intelligent Transportation Systems 21, no. 12 (December 2020): 4995–5009. http://dx.doi.org/10.1109/tits.2019.2946356.

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&NA;. "Smart Fabrics Monitor Patient Vital Signs." Journal of Clinical Engineering 30, no. 3 (July 2005): 111. http://dx.doi.org/10.1097/00004669-200507000-00006.

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Gretzel, Ulrike, and Maria Collier de Mendonça. "Smart destination brands: semiotic analysis of visual and verbal signs." International Journal of Tourism Cities 5, no. 4 (December 9, 2019): 560–80. http://dx.doi.org/10.1108/ijtc-09-2019-0159.

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Purpose Smart tourism is a destination management approach that requires the buy-in of a myriad of stakeholders. Its many audiences and complexity demand the creation of meaningful brands to effectively position and communicate smart tourism initiatives. The purpose of this paper is to explore how smart tourism branding strategies have been implemented to communicate relevant values, benefits and attributes to industry stakeholders through institutional websites. Design/methodology/approach Based on a semiotic analysis of two smart tourism-related sites (destinosinteligentes.es and smarttourismcapital.eu), the research interprets the brand-related visual and verbal signs. Findings The findings highlight how brand elements embedded in websites communicate a brand identity and facilitate particular interpretations of smart tourism. Both brands use similar signs to promote a techtopian vision of smart destinations but employ different strategies to motivate stakeholder buy-in. Research limitations/implications Smart tourism is currently largely embedded in overall smart city initiatives and finding tourism-specific examples online is difficult. However, the two selected websites reflect the brands of multiple destinations and permit a detailed analysis of meaning making. Future research can focus on how brand-related signs are perceived by different stakeholders. Practical implications Identifying the strategies and shortcomings of current smart tourism brands informs future smart tourism branding efforts and effective communication with smart tourism stakeholders. Originality/value Semiotics is a relevant but underutilized method to understand how smart tourism initiatives conceptualize “smartness.”
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NOWOSIELSKI, Leszek. "“Smart clothing” wearable for vital signs monitoring." PRZEGLĄD ELEKTROTECHNICZNY 1, no. 5 (May 1, 2022): 64–68. http://dx.doi.org/10.15199/48.2022.05.11.

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Senior, Melanie. "Novartis signs up for Google smart lens." Nature Biotechnology 32, no. 9 (September 2014): 856. http://dx.doi.org/10.1038/nbt0914-856.

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Gajanayake, G. M. T. S., W. E. M. K. D. D. Ekanayake, G. D. C. Malinda, Lakmini Malasinghe, and Subashini De Silva. "Smart Health Monitoring System." Journal of Advances in Engineering and Technology 2, no. 2 (March 28, 2024): 25–36. http://dx.doi.org/10.54389/uesb9651.

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Due to the high inpatient population in hospitals, regular monitoring of inpatients' vital signs is currently a practical concern. As a solution, our proposed system manages the continuous analysis of the vital signs of every inpatient in the general wards, and informs medical professionals in any location at any time about their inpatients' current states in real-time to improve inpatients' health. The suggested system consists of the following arrangements; arrangement for acquiring health readings, identifying the on-duty reported doctors in charge of wards, arrangement for health data exhibiting unit, fall detection, and ECG acquisition. In addition to these arrangements, a website, and an android mobile application were designed to publish measured inpatient vital signs. This proposed product is both novel and different from the existent products because, it comprises of collective arrangements, and is developed in order to assess hospital wards’ inpatients, whereas other systems are designed for remote health monitoring of patients at home. This paper describes the system that was developed and tested successfully. KEYWORDS: Real-time database, Temperature, Heart rate, SpO2, ECG, Fall detection, Website, Mobile application
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K., Senthil Kumara Raja, Vignesh Raja S., Arockia Joshwa V., and Yokesh R. "Automated Smart Healthcare Monitoring System." Journal of Ubiquitous Computing and Communication Technologies 6, no. 4 (January 2025): 368–76. https://doi.org/10.36548/jucct.2024.4.004.

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This research presents the design and implementation of a fully automated chair equipped with sensors to assess the health status of patients. The chair measures vital signs such as weight, blood pressure, heart rate, oxygen level, and temperature. The system is fully integrated with the ThingSpeak IoT cloud platform. The collected data in ThingSpeak is processed by a machine learning model in the cloud to detect sudden changes in vital signs and send alerts to notify doctors. The proposed method utilizes K-means clustering to identify abnormal or sudden variations in vital signs. Future developments aim to integrate the chair with a user-friendly application that includes patient details, a video call appointment option, medication and appointment reminders, and outpatient ID (OP ID) generation.
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Wan, Zhanzhi, Tiejun Zhou, Jianwu Xiong, and Gao Pan. "Smart Safety Design for Evacuation Signs in Large Space Buildings Based on Height Setting and Visual Range of Evacuation Signs." Buildings 14, no. 9 (September 11, 2024): 2875. http://dx.doi.org/10.3390/buildings14092875.

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In case of emergency, evacuation signs play an important role in guiding people to evacuate safety exits in large space buildings. Large space buildings are characterized by high ceilings and large areas. In the existing legislation and standards, the height setting of evacuation signs is fixed, but the influence of height changes on the visibility of evacuation signs is very important. This study fully considers the relationship between the height setting change of evacuation signs and the visual range and puts forward a smart safety design strategy for evacuation signs. The smart safety design consists of two parts, one is the mathematical relationship between the height change of evacuation signs and the visual range of personnel, and the other is the integration of the application process of smart devices. Firstly, the visual range of two different sizes of evacuation signs placed at the height of 1.7 to 6 m was measured experimentally in China. The results showed that: (1) with an increase in the height of the evacuation signs, their viewing distance gradually decreased and the visual range was reduced; (2) the mathematical model of the change between the height and the visual range of evacuation signs was established; (3) the height of evacuation signs between 3 to 5 m agreed more with the visual habits of the people. Then, on this basis, the smart safety design method can use related mathematical models to set the evacuation signs at the optimal height based on the actual distance between people and evacuation signs, ensuring that people can see the signs the first time, thus providing evacuation guidance for evacuees and improving the safety of large space buildings.
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B, Thyla, Bhuvanesh G, Jacob Novan Nelson A, and Abishek M. "Smart Stretcher for Measuring Vital Signs of Unconscious Persons." ECS Transactions 107, no. 1 (April 24, 2022): 533–41. http://dx.doi.org/10.1149/10701.0533ecst.

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The implementation of health monitoring technology in the stretcher can help to improve the quality of health management in India. Health is one of the global challenges for humanity especially in the countries with overpopulation. The main idea here is to provide a smart system that measures the vital signs of the unconscious person so that the health care professionals can monitor the person. PIC micro controller is the device used for information processing which collectively obtains the respiratory rate, heartbeat, temperature, and the blood pressure rate of the patient which is directly updated to the hospital server via IOT. This further updates the biometric details of the patient to the police station about the accident. This system is developed by using affordable technology and merging different functions to offer a proper solution. The aim of the system is to save many human lives by preparing intense care unit in hospital, as their physical parameters are updated to the hospital before their arrival to the hospital.
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Pospelova, I. V., I. V. Cherepanova, D. S. Bragin, and V. N. Serebryakova. "Feasibility Assessment of Using Smart Trackers in Telemedicine Systems to Remotely Monitor the Overall Health of Patients in Real-Time." Journal of the Russian Universities. Radioelectronics 24, no. 6 (December 30, 2021): 71–83. http://dx.doi.org/10.32603/1993-8985-2021-24-6-71-83.

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Introduction. The development of telemedicine systems intended to remotely monitor the health status of patients constitutes one of the most promising areas of contemporary science. Particularly relevant is the use of such systems to track the health of surgically treated patients. Since such patients are mobile, sensors measuring vital signs should not cause any discomfort in regular use. Thus, wearable smart trackers can be used for these purposes.Aim. The paper aims to study the possibility of using smart trackers in a telemedicine system for monitoring patient health.Materials and methods. In the study, a series of measurements was performed using GSMIN WR 41 smart bracelets in order to estimate their accuracy when measuring pulse, blood pressure, and oxygen saturation for different research subjects at rest and during intense physical exercises. In addition, the average measurement interval of the smart bracelet was determined; the operation of the smart bracelet in the telemedicine system for monitoring vital signs was considered.Results. The studies show that an average error in the measurement of vital signs (except for systolic pressure) using the smart bracelet does not exceed 10 %. In order to avoid the high error in measuring systolic pressure, an algorithm for assessing the general health of patients was developed. In addition, it is shown that the smart bracelet can detect an abrupt change in the vital signs of patients, with the average time of their measurement and data transmission to the server of the telemedicine system coming to 45 seconds.Conclusion. The study results indicate that smart bracelets can be used to remotely monitor the health of patients in real-time. These findings are confirmed by the telemedicine system designed on the basis of the smart bracelets considered in the paper.
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Dissertations / Theses on the topic "Smart signs"

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Chandrasekaran, Vikram. "Measuring Vital Signs Using Smart Phones." Thesis, University of North Texas, 2010. https://digital.library.unt.edu/ark:/67531/metadc33139/.

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Smart phones today have become increasingly popular with the general public for its diverse abilities like navigation, social networking, and multimedia facilities to name a few. These phones are equipped with high end processors, high resolution cameras, built-in sensors like accelerometer, orientation-sensor, light-sensor, and much more. According to comScore survey, 25.3% of US adults use smart phones in their daily lives. Motivated by the capability of smart phones and their extensive usage, I focused on utilizing them for bio-medical applications. In this thesis, I present a new application for a smart phone to quantify the vital signs such as heart rate, respiratory rate and blood pressure with the help of its built-in sensors. Using the camera and a microphone, I have shown how the blood pressure and heart rate can be determined for a subject. People sometimes encounter minor situations like fainting or fatal accidents like car crash at unexpected times and places. It would be useful to have a device which can measure all vital signs in such an event. The second part of this thesis demonstrates a new mode of communication for next generation 9-1-1 calls. In this new architecture, the call-taker will be able to control the multimedia elements in the phone from a remote location. This would help the call-taker or first responder to have a better control over the situation. Transmission of the vital signs measured using the smart phone can be a life saver in critical situations. In today's voice oriented 9-1-1 calls, the dispatcher first collects critical information (e.g., location, call-back number) from caller, and assesses the situation. Meanwhile, the dispatchers constantly face a "60-second dilemma"; i.e., within 60 seconds, they need to make a complicated but important decision, whether to dispatch and, if so, what to dispatch. The dispatchers often feel that they lack sufficient information to make a confident dispatch decision. This remote-media-control described in this system will be able to facilitate information acquisition and decision-making in emergency situations within the 60-second response window in 9-1-1 calls using new multimedia technologies.
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Abidi, Rihab. "Smart Rοad Signs based trust management mοdels fοr cοοperative Ιntellgent Τranspοrtatiοn Systems." Electronic Thesis or Diss., Normandie, 2024. http://www.theses.fr/2024NORMR111.

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L'augmentation de la complexité des systèmes de circulation urbaine a rendu la congestion un défi majeur, entraînant des impacts économiques, environnementaux et sociaux considérables. Les Systèmes de Transport Intelligents (STIs) sont apparus comme une solution prometteuse pour atténuer ces défis en permettant une gestion dynamique du trafic. Cependant, la fiabilité des données au sein des STIs représente un enjeu de plus en plus important. L'introduction de données erronées par des capteurs défectueux ou malveillants peut entraîner des dysfonctionnements ou des perturbations intentionnelles du système. Dans ce contexte, les modèles de gestion de la confiance revêtent une importance cruciale.La plupart des modèles de confiance existants proposent des approches centrées sur les véhicules. Cependant, la forte mobilité et la nature dynamique des environnements des STIs affectent la stabilité et la scalabilité de ces systèmes. En conséquence, la proposition de nouveaux modèles de confiance conçus spécifiquement pour les STIs, afin d'améliorer la précision, la sécurité, la scalabilité et la stabilité de la diffusion des informations sur le trafic, constitue l'objectif global de cette thèse.Tout d'abord, nous avons proposé une architecture générique pour un cadre de modèle de gestion de la confiance, exploitant les Smart Road Signs (SRSs). La conception de cette architecture repose sur une étude approfondie de l'état de l'art. Cette architecture a ensuite été développée pour proposer deux nouveaux modèles de confiance. Le premier modèle, considère les informations contextuelles et l'agrégation. De plus, ce modèle prend en compte les informations contextuelles et l'agrégation des données provenant de multi-sources pour évaluer la fiabilité des événements de trafic signalés aux SRSs et des différents nœuds du réseau. De plus, le modèle applique une évaluation de confiance à deux niveaux en combinant l'inférence Bayésienne et une approche de somme pondérée dynamique. En outre, une inférence bayésienne basée sur la prédiction a été proposée pour améliorer la précision de l'évaluation de la confiance.Par la suite, un modèle de confiance en communication a été proposé, pour compléter la contribution précédente, en utilisant des métriques de Quality of Service (QoS) pour évaluer le comportement des SRSs. Ce modèle introduit un modèle de confiance auto-organisé pour suivre les comportements des SRSs et établir des environnements stables en utilisant Dempster Shafer Theory (DST) basée sur la logique floue. En effet, nous considérons un scénario plus réaliste où tous les nœuds sont vulnérables aux attaques et aux pannes. Ainsi, l'objectif principal de ce modèle est de garantir que le système reste opérationnel même dans des environnements hostiles, en atténuant la vulnérabilité des architectures de réseau centralisées, qui est le point de défaillance unique.Les modèles proposés ont été validés par des simulations, démontrant leur efficacité dans l'identification des nœuds malveillants et la réduction des rapports de trafic erronés. Les résultats montrent que la prise en compte de l'agrégation de données provenant de multi-sources et des informations contextuelles augmente la précision de l'évaluation de la confiance. De plus, l'adoption d'un modèle basé sur l'infrastructure, exploitant une architecture décentralisée et hiérarchique, améliore l'évolutivité et la stabilité des modèles de confiance, ce qui est adapté à un tel environnement
The increasing complexity of urban traffic systems has made congestion a significant challenge, leading to severe economic, environmental, and social impacts. Intelligent Transportation Systems (ITSs) have emerged as a promising solution to mitigate these challenges by enabling dynamic traffic management. However, the reliability of data within ITSs represents an increasingly significant challenge. The introduction of erroneous data by defective or malicious sensors can lead to malfunctions or intentional disruptions of the system. In this context, trust management models assume a crucial importance.Most of the existing trust models propose vehicle-centric approaches. However, the high mobility and dynamic nature of the ITS environments affects the stability and scalabity of such systems. Accordingly, proposing novel trust models designed specifically for ITSs to enhance the accuracy, security, scalability and stabilty of traffic information dissemination constitutes the overall goal of this thesis.First, we proposed a generic architecture for a trust framework, leveraging Smart Road Signs (SRSs). The conception of this architecture was built upon the output of a deep investigation of the state of the art. This framework has been, then, developed to propose two novel trust models. The first model, considers the contextual information and multi-source data aggregation to assess the trustworthiness of reported traffic events and the different nodes of the network. Additionally, the model applies a bi-level trust evaluation combining Bayesian Inference and a dynamic weighted sum approach. Furthermore, a predictive-based Baysian Inference was proposed to enhance the accuracy of trust evaluation. Thereafter, a communication trust model was proposed, to complement the previous contribution, using Quality of Service (QoS) metrics to evaluate the SRSs behaviour. This model introduces a self-organizing trust model to track the SRSs' behaviours and establishes stable environments using a fuzzy-based Dempster Shafer Theory (DST). In fact, we consider a more realistic scenario where all the nodes are vulnerable to attacks and failure. Thus, the main objective of this model is to ensure that the system remains operational even in hostile environments, by mitigating the inherent single point of failure vulnerability characteristic of centralized network architectures.\\The proposed models were validated through simulations, showing their effectiveness in identifying malicious nodes and mitigating erroneous traffic reports. The results demonstrate that considering multi-source data aggregation and context-aware information increases the accuracy of trust evaluation. Furthermore, the adoption of an infrastructure-based framework leveraging a decentralized and hierarchical architecture enhances the scalability and stability of the trust models, which is suitable for such environment
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Silva, Rafael, and Naveed Ul Haq. "Monitoring Heart Rate with Common Market Smart-phones for Identifying Potential Signs that may Lead to Sudden Death." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3018.

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Context: Sudden Infant Death Syndrome (SIDS) is a phenomenon in which new-born-infants die, often during sleeping, and no cause of death is identified after the autopsy and examination. Assumptions can be made in order to understand what happened to the infant, e.g. heart failures and insufficient breathing rate due to the position of the infant, although deeper studies are hard to be performed, since recording real-cases of sudden infant death on camera is not so trivial. Objectives: Our main objective with the work hereby presented is to perform a study on practical issues that may arise when one is contemplating to build a mobile application for monitoring the heart rate of individuals. These issues may include the levels of accuracy of heart rate measurements that can be retrieved by the current technology, best room conditions for the application to work and positioning of the device in respect to the subject under monitoring. Our secondary objective with this work is to present a heart rate monitor prototype application at a conceptual level. Methods: We conducted a literature review and an analysis of the current available technology, approaches and applications for smart-phones. We conducted experiments on a controlled environment by taking heart rate measurements and comparing results obtained from one smart phone application with results obtained with one standard electrocardiogram tool. After gathering the outputs of the experiments, we analyzed the patterns with the ultimate goal to identify the best set of parameters for the application to work. Results: Our main achievements were obtained through the data that we collected. Although related this work with SIDS, we collected data from adults. The procedures for obtaining the Heart Rate with the application analyze the skin of an individual and, thus, it does not matter if it is an infant or adult. We identified relevant parameters that affect directly the performance of the application, leading it to malfunction. Finally, we proposed a prototype of a mobile heart rate monitoring, that we named The Mobile Heart Rate Monitoring System (MHRMS) at a conceptual level, adding-up functionality to the existing technology and also outlining the best conditions and positioning for it to work correctly. Conclusions: The main conclusion that we reached is that it is reasonable to make use of the current technology that are available in today’s smart phones for having a trustworthy heart rate monitoring tool.
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Babar, Ayesha, and Carine Kanani. "Monitoring of Vital Signs Parameters with ICTs : A Participatory Design Approach." Thesis, Linnéuniversitetet, Institutionen för informatik (IK), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-97030.

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The development of internet-based technologies, the design and adoption of wireless wearable and smart devices have been a growing study spot in all domains. The healthcare sector as many others is making technological progress to improve healthcare services and patients wellbeing and avoid or minimize the use of manual and traditional practices such as the use of paper notes to record the vital signs parameters data. The vital signs parameters are the most monitored physiology features, they produce a big amount of data and request a close follow up to define the health condition of a patient. Continuous vital signs monitoring involves the usage of different devices and systems, which if appropriate positively impact the activities involved, by enabling the continuous generation of data and information about the overall health status of patients and contribute to the wellbeing of individuals, in terms of preventing and reducing fatal risks. To investigate this situation, this research’s focus was in three parts; first, investigate recent research about patient’s health predictions based on vital signs parameters and the impacts of continuous monitoring on the care given. Second, explore the availability in terms of i.e. sensors used in devices that can continuously track vital signs parameters. Last, to provide a possible design recommendation to improve and/or replace the existing devices for vital signs parameters measuring and monitoring in emergency and post-operative care. A qualitative approach and participatory design approach were used to collect data. The qualitative part was achieved through interviews and the participatory design part was accomplished by the future workshop and two prototyping techniques, paper and digital prototypes. The findings of this research were analysed using conceptual analysis, and also discussed using those concepts. Together with the participants, this research resulted in three design suggestions which if implemented shall improve the vital signs continuous monitoring activities, by facilitating the healthcare professionals in their clinical responsibilities and improving the patients wellbeing while admitted in Emergency and Post-operative wards.
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Clifford, Shea. "Platform migration of a LCD smart transit sign." Click here to view, 2010. http://digitalcommons.calpoly.edu/cpesp/3/.

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Thesis (B.S.)--California Polytechnic State University, 2010.
Project advisor: David Braun. Title from PDF title page; viewed on Apr. 19, 2010. Includes bibliographical references. Also available on microfiche.
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Tamatsu, Yukimasa, Hiroshi Murase, Ichiro Ide, Yoshito Mekada, Tomokazu Takahashi, Daisuke Deguchi, and Keisuke Doman. "Estimation of Traffic Sign Visibility Toward Smart Driver Assistance." IEEE, 2010. http://hdl.handle.net/2237/14486.

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Tlemsani, Fatima Zohra. "Mesure des transferts thermiques et hydriques par intégration des fluxmètres thermiques textiles dans un vêtement pour les enfants en situation de polyhandicap." Electronic Thesis or Diss., Université de Lille (2022-....), 2023. http://www.theses.fr/2023ULILN004.

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Les enfants souffrants de la paralysie cérébrale éprouvent un stress psychologique important lors de la rééducation. Ceci est lié à de nombreux facteurs psychologiques comme la peur, l'anxiété et les phobies, et d'autres physiques tels que le poids des appareils de rééducation, leurs frottements sur le corps, et les douleurs liées aux problèmes de motricité. Dans l'état de l'art, il a été montré que les chercheurs ont suivi une approche utilisant les paramètres physiologiques comme bioindicateurs de stress. Ils utilisent principalement des biosignaux tels que la température cutanée, l'électrocardiographie (ECG), l'activité électrodermale (EDA), l'électromyographie (EMG), la respiration, le diamètre de la pupille, l'électroencéphalographie (EEG) pour l'évaluation du stress. Etant donné que les échanges thermiques et hydriques sont fonction de l'évolution de la température, ils peuvent également faire l'objet d'un indicateur de stress, d'autant plus qu'ils représentent un indicateur d'inconfort thermique. Pour cela, dans ce travail, un fluxmètre thermique textile, qui possède des caractéristiques de perméabilité, souplesse et conformité à être utilisé sur la peau, a été développé, analysé et caractérisé. Un dispositif expérimental a été mis en place afin d'établir un système de calibration de fluxmètre. Ensuite le comportement thermo-hydrique des fluxmètres a été analysé dans des conditions de laboratoire. Les fluxmètres thermiques textiles développés ont montré des sensibilités dans le même ordre de grandeur que le capteur étalon. De plus, l'étude des performances de fluxmètre a montré un comportement similaire à celle du capteur étalon. Par conséquent, des tests de stress ont été menés sur 20 volontaires adultes en bonne santé, de différentes tranches d'âges, et différents gendres, femmes et hommes, et sur deux enfants, de 7 ans et 12 ans, également en bonne santé. Trois différents types d'activité ont été réalisés pour provoquer le stress, à savoir, des activités mathématiques, des jeux de réalité virtuelle et une activité sportive. Cela a été dans l'objectif de stimuler différents types de stress, i.e. le stress positif (eustress), le stress négatif et le stress physique, respectivement. Les résultats des tests montrent un comportement similaire entre les deux fluxmètres (textile et étalon), et une corrélation positive entre le comportement de l'électrocardiogramme et celui du fluxmètre. Un lien a été établi dans la majorité des cas entre le retour des volontaires concernant le stress ressenti, et leurs réponse thermo-hydrique relevée par le fluxmètre thermique textile
Children with cerebral palsy experience significant psychological stress during rehabilitation. This is related to many psychological factors such as fear, anxiety and phobias, and physical factors such as the weight of the rehabilitation devices, their friction on the body, and the pain related to motor problems. In the state of art, it has been shown that researchers have followed an approach using physiological parameters as biomarkers of stress. They mainly use biosignals such as skin temperature (ST), electrocardiography (ECG), electrodermal activity (EDA), electromyography (EMG), respiration, pupil diameter, electroencephalography (EEG) for stress assessment. Since thermal and hydric exchanges are a function of temperature evolution, they can also be an indicator of stress, especially since they represent an indicator of thermal discomfort. For this purpose, in this work, a textile heat fluxmeter, which has characteristics of permeability, flexibility and suitability for use on the skin, has been developed, analyzed and characterized. An experimental device was set up in order to establish a calibration system of the fluxmeter. Then the thermo-hydric behavior of the fluxmeters was analyzed under laboratory conditions. The developed textile heat fluxmeter showed similar sensitivities as the gold standard sensor. Moreover, the study of the fluxmeter performance showed a similar behavior to that of the standard sensor. Therefore, stress tests were conducted on 20 healthy adult volunteers of different ages and genders, women and men, and on two children, 7 and 12 years old, also healthy. Three different types of activities were performed to induce stress, namely, mathematical activities, virtual reality games and a sports activity. This was with the objective of stimulating different types of stress, i.e. positive stress (eustress), negative stress and physical stress, respectively. The results of the tests show a similar behavior between the two fluxmeters (textile and standard), and a positive correlation between the behavior of the electrocardiogram and the fluxmeter. A relation was established in the majority of cases between the volunteers' feedback on the stress they felt and their thermo-hydric response measured by the textile heat fluxmeter
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Mohamed, Asif, Paul Sujeet, and Vishnu Ullas. "Gauntlet-X1: Smart Glove System for American Sign Language translation using Hand Activity Recognition." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-428743.

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The most common forms of Human Computer Interaction (HCI) devices these dayslike the keyboard, mouse and touch interfaces, are limited to working on atwo-dimensional (2-D) surface, and thus do not provide complete freedom ofaccessibility using our hands. With the vast number of gestures a hand can perform,including the different combinations of motion of fingers, wrist and elbow, we canmake accessibility and interaction with the digital environment much more simplified,without restrictions to the physical surface. Fortunately, this is possible due to theadvancements of Microelectromechanical systems (MEMS) manufacturing of sensors,reducing the size of a sensor to the size of a fingernail.In this thesis we document the design and development of a smart glove systemcomprising of Inertial Measurement Units (IMU) sensors that recognize handactivity/gestures using combinations of neural networks and deep learning techniquessuch as Long Short-Term Memory (LSTM) and Convolutional Neural Network(CNN). This peripheral device is named as the Gauntlet-X1, X1 to denote thecurrent prototype version of the device. The system captures IMU data and interfaceswith the host server. In order to demonstrate this prototype as a proof of concept,we integrate to Android mobile applications based on 3-D interactivity like theAmerican Sign Language(ASL), Augmented Reality (AR)/Virtual Reality (VR)applications and can be extended to further the use of HCI technology.
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Tingström, Alexander. "Outsmarting Passwords : An Analysis on the use of Smart Cards for Single Sign-On in Legacy Applications." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-217264.

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By leveraging smart-cards as a bearer of user credentials for legacy applications the security of these systems can be greatly increased. In this thesis a solution to the problem of legacy applications only allowing username-password authentication is proposed. Storing user-data encrypted on the card and automatically serving it to the required application allows for automatically generated passwords to be used. The backbone of this system is developed. This solution is then analyzed and found to result in a significantly increased level of security.
Genom att använda smartakort som bärare av användarnamn och lösenord för gamla "legacyapplikationer" så kan man drastiskt öka säkerheten i dessa system. I detta examensarbete så läggs ett förslag på lösning till problemet att äldre applikationer enbart tillåter autentisering genom användarnamn.lösenord. Genom att lagra användardata på ett enkrypterat utrymme i ett smartkort för att sedan automatiskt mata in detta i den berörda applikationen så tillåts starkare, ej användarvänliga, lösenord att användas. Grunden till detta system utvecklas och en säkerhetsanalys utförs. Detta visar på en kraftig förbättring av säkerheten gentemot dessa system.
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Amor, Yasmine. "Ιntelligent apprοach fοr trafic cοngestiοn predictiοn." Electronic Thesis or Diss., Normandie, 2024. http://www.theses.fr/2024NORMR129.

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La congestion routière constitue un défi majeur pour les zones urbaines, car le volume de véhicules continue de croître plus rapidement que la capacité globale du réseau routier. Cette croissance a des répercussions sur l'activité économique, la durabilité environnementale et la qualité de vie. Bien que des stratégies visant à atténuer la congestion routière ont connu des améliorations au cours des dernières décennies, de nombreux pays ont encore du mal à la gérer efficacement.Divers modèles ont été développés pour aborder ce problème. Cependant, les approches existantes peinent souvent à fournir des prédictions en temps réel et localisées qui peuvent s'adapter à des conditions de trafic complexes et dynamiques. La plupart de ces approches s'appuient sur des horizons de prédiction fixes et manquent de l'infrastructure intelligente nécessaire à la flexibilité. Cette thèse comble ces lacunes en proposant une approche intelligente, décentralisée et basée sur l'infrastructure pour l'estimation et la prédiction de la congestion routière.Nous commençons par étudier l'Estimation du Trafic. Nous examinons les mesures de congestion possibles et les sources de données requises pour différents contextes pouvant être étudiés. Nous établissons une relation tridimensionnelle entre ces axes. Un système de recommandation basé sur des règles est développé pour aider les chercheurs et les opérateurs du trafic à choisir les mesures de congestion les plus appropriées en fonction du contexte étudié.Nous passons ensuite à la Prédiction du Trafic, où nous introduisons notre approche DECOTRIVMS. Cette dernière utilise des panneaux intelligents à messages variables pour collecter des données detrafic en temps réel et fournir des prédictions à court terme avec des horizons de prédiction variables.Nous avons utilisé des Réseaux de Graphes avec Attention en raison de leur capacité à capturer des relations complexes et à gérer des données structurées en graphes. Ils sont bien adaptés pour modéliser les interactions entre différents segments routiers étudiés.Nous avons aussi employé des méthodes d'apprentissage en ligne, spécifiquement la Descente de Gradient Stochastique et la Descente de Gradient Adaptative. Bien que ces méthodes ont été utilisées avec succès dans divers autres domaines, leur application à la prédiction de la congestion routière reste sous-explorée. Dans notre thèse, nous visons à combler cette lacune en explorant leur efficacité dans le contexte de la prédiction de la congestion routière en temps réel.Enfin, nous validons l'efficacité de notre approche à travers deux études de cas réalisées à Mascate, Oman, et à Rouen, France. Une analyse comparative est effectuée, évaluant divers modèles de prédiction, y compris les Réseaux de Graphes avec Attention, les Réseaux de Graphes Convolutionnels et des méthodes d'apprentissage en ligne. Les résultats obtenus soulignent le potentiel de DECOTRIVMS, démontrant son efficacité pour une prédiction précise et efficace de la congestion routière dans divers contextes urbains
Traffic congestion presents a critical challenge to urban areas, as the volume of vehicles continues to grow faster than the system’s overall capacity. This growth impacts economic activity, environmental sustainability, and overall quality of life. Although strategies for mitigating traffic congestion have seen improvements over the past few decades, many cities still struggle to manage it effectively. While various models have been developed to tackle this issue, existing approaches often fall short in providing real-time, localized predictions that can adapt to complex and dynamic traffic conditions. Most rely on fixed prediction horizons and lack the intelligent infrastructure needed for flexibility. This thesis addresses these gaps by proposing an intelligent, decentralized, infrastructure-based approach for traffic congestion estimation and prediction.We start by studying Traffic Estimation. We examine the possible congestion measures and data sources required for different contexts that may be studied. We establish a three-dimensional relationship between these axes. A rule-based system is developed to assist researchers and traffic operators in recommending the most appropriate congestion measures based on the specific context under study. We then proceed to Traffic Prediction, introducing our DECentralized COngestion esTimation and pRediction model using Intelligent Variable Message Signs (DECOTRIVMS). This infrastructure-based model employs intelligent Variable Message Signs (VMSs) to collect real-time traffic data and provide short-term congestion predictions with variable prediction horizons.We use Graph Attention Networks (GATs) due to their ability to capture complex relationships and handle graph-structured data. They are well-suited for modeling interactions between different road segments. In addition to GATs, we employ online learning methods, specifically, Stochastic Gradient Descent (SGD) and ADAptive GRAdient Descent (ADAGRAD). While these methods have been successfully used in various other domains, their application in traffic congestion prediction remains under-explored. In our thesis, we aim to bridge that gap by exploring their effectiveness within the context of real-time traffic congestion forecasting.Finally, we validate our model’s effectiveness through two case studies conducted in Muscat, Oman, and Rouen, France. A comprehensive comparative analysis is performed, evaluating various prediction techniques, including GATs, Graph Convolutional Networks (GCNs), SGD and ADAGRAD. The achieved results underscore the potential of DECOTRIVMS, demonstrating its potential for accurate and effective traffic congestion prediction across diverse urban contexts
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Books on the topic "Smart signs"

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Anthony, Michelle. Signing Smart workshop-in-a-box: Curriculum for a parent audience. [Centennial, Colo.]: Wide-Eyed Learning, 2004.

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Anthony, Michelle, and Reyna Lindert. Signing Smart Flashcards: First Signs. Self, 2004.

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Anthony, Michelle, and Reyna Lindert. Signing Smart Flashcards: Animal Signs. Self, 2004.

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Signing Smart Flashcards: Year-Round Holiday Signs. Self, 2004.

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Smart Signs, Foolish Choices: An Astrological Guide to Getting Smart in Affairs of the Heart. Citadel, 2004.

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Next-generation smart traffic signals: RHODES with Intellidrive--the self-taught traffic control system. Washington, D.C.]: U.S. Dept. of Transportation, Federal Highway Administration, 2009.

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Sattler, Neida. Codependent Recovery : 10 Smart Tips to Overcome Codependent Relationship and Love Yourself: Signs of Codependent Relationship. Independently Published, 2021.

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Matthews, Steven. All I See Is Dollar Signs: The Post-Pandemic Arbitrage Blueprint - Make Money Selling Used Stuff the Smart Way. Independently Published, 2021.

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hkf, tracker. Vital Signs Log Book: Smart Blood Sugar Book by Marlene Merit, Personal Health Record Keeper, Blood Pressure and Sugar, Track Blood. Independently Published, 2022.

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hkf, tracker. Vital Signs Log Book: Smart Blood Sugar Book by Marlene Merit, Personal Health Record Keeper, Blood Pressure and Sugar, Track Blood. Independently Published, 2022.

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Book chapters on the topic "Smart signs"

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Rogers, Reese. "Smart Grid and Energy Storage Installations Rising." In Vital Signs, 19–21. Washington, DC: Island Press/Center for Resource Economics, 2013. http://dx.doi.org/10.5822/978-1-61091-457-4_5.

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Sun, Peiliang. "Prison IOT Application—Vital Signs Monitoring System." In Smart Prisons, 109–19. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9657-2_6.

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Lundberg, Jenny, and Lena Claesson. "Early Signs of Diabetes Explored from an Engineering Perspective." In Smart Industry & Smart Education, 22–31. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-95678-7_3.

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Sun, Letian, Li Liu, Ye Wei, Jun Zhong, Dashi Luo, Ming Liu, and Hamed Monkaresi. "Apply Autocorrelation and Forward Difference to Measure Vital Signs Using Ordinary Camera." In Smart Health, 150–59. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08416-9_16.

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Balog, Michal, Erik Szilagyi, and Miroslav Mindas. "Traffic Signs in Urban Logistics with the Use of RFID Technology." In Smart City 360°, 584–91. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-33681-7_49.

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Buratto, Davi F., and Frank H. Behrens. "Cost-Effective Platform for the Acquisition of Vital Signs." In Smart Innovation, Systems and Technologies, 425–36. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-66961-3_39.

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Yu, Lina, Liqun Guo, Huanfang Deng, Kequan Lin, Limin Yu, Wanlin Gao, and Iftikhar Ahmed Saeed. "Research on Continuous Vital Signs Monitoring Based on WBAN." In Inclusive Smart Cities and Digital Health, 371–82. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39601-9_33.

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Battula, Deepak, G. Santhoshi Kumari, and Lakshmi Choudari. "Prediction of Traffic Signs Avoiding Adversarial Effects Using Convolutional Neural Networks." In Smart Innovation, Systems and Technologies, 505–11. Singapore: Springer Nature Singapore, 2024. https://doi.org/10.1007/978-981-97-6222-4_41.

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Abidi, Rihab, Nabil Sahli, Nadia Ben Azzouna, Wassim Trojet, and Ghaleb Hoblos. "Monitoring Traffic Congestion Using Trust-Based Smart Road Signs." In Communications in Computer and Information Science, 184–96. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-70966-1_9.

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Velasco, Franklin, and Hanna Marriott. "Smart Signage: Toward a Transformative Model that Effectively Generates Consumer-Product Relationships." In The Future of Consumption, 39–54. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-33246-3_3.

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AbstractSmart signage moves beyond traditional signage as it combines digital displays with Artificial Intelligence processes, Machine Learning attributes, and the use of Internet of Things consumer data. This chapter develops a conceptual model that illustrates both the dynamic nature of smart signs in retail contexts and the factors that coexist when consumers interact with this novel marketing communication tool. A set of new concepts and relationships are included in the model to reflect how smart signs two-way communication interface, technological characteristics, effects of psychological mechanism and privacy concerns, and formation of consumer-product relationships, all of which are useful in understanding smart signage persuasion effects. We foresee a fruitful avenue for research in the domain of smart signage and we discuss several implications for retail marketing, consumer wellbeing, and shopping experiences.
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Conference papers on the topic "Smart signs"

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Setiawan, Yosua, Muhammad Nurul Puji, and Winda Astuti. "Traffic Signs Detection System Using YOLO (You Only Look Once) That Provides Notification." In 2024 IEEE International Conference on Smart Mechatronics (ICSMech), 95–100. IEEE, 2024. https://doi.org/10.1109/icsmech62936.2024.10812285.

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Liu, Xuanzhi, Ehsan Khoramshahi, Ruochen Zhang, Chen Chen, Eetu Puttonen, and Yuwei Chen. "Using Direct-Georeferencing with a MEMS-LiDAR to Classify Traffic Signs, an Automatic Approach." In 2024 5th International Conference on Smart Sensors and Application (ICSSA), 1–6. IEEE, 2024. https://doi.org/10.1109/icssa62312.2024.10788657.

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Ge, Yao, Heyi Zhao, and Tong Liu. "Prediction and analysis of the severity of road traffic accidents at traffic signs under rainstorm conditions." In Fourth International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2024), edited by Hao Chen and Wei Shangguan, 121. SPIE, 2025. https://doi.org/10.1117/12.3051342.

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Philosof, Jonathan, Deep Pal, Aviya Bennett, Yevgeny Beiderman, Sergey Agdarov, Yafim Beiderman, and Zeev Zalevsky. "Fiber based photonic sensor for sensing of vital bio-signs and of glucose concentration in blood stream as well as for its usage in smart building related applications." In 2024 24th International Conference on Transparent Optical Networks (ICTON), 1. IEEE, 2024. http://dx.doi.org/10.1109/icton62926.2024.10647913.

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Kumar, Chevella Anil, V. Sagar Reddy, Nainika Kandarpa, and Pallavi Sharma. "Smart IoT System for Indian Sign Language Translator." In 2024 Second International Conference on Intelligent Cyber Physical Systems and Internet of Things (ICoICI), 254–58. IEEE, 2024. http://dx.doi.org/10.1109/icoici62503.2024.10696760.

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Tang, Yongyang, Zhe Chen, Ang Li, Tianyue Zheng, Zheng Lin, Jia Xu, Pin Lv, Zhe Sun, and Yue Gao. "MERIT: Multimodal Wearable Vital Sign Waveform Monitoring." In 2024 IEEE Smart World Congress (SWC), 1112–19. IEEE, 2024. https://doi.org/10.1109/swc62898.2024.00178.

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Craig, Paul. "Super Smart Signs." In 1989 Conference and Exposition on Future Transportation Technology. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1989. http://dx.doi.org/10.4271/891723.

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Skubic, Marjorie. "Smart health vital signs from the smart home." In 2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops). IEEE, 2015. http://dx.doi.org/10.1109/percomw.2015.7134064.

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Yasmina, Djebbara, Rebai Karima, and Azouaoui Ouahiba. "Traffic signs recognition with deep learning." In 2018 International Conference on Applied Smart Systems (ICASS). IEEE, 2018. http://dx.doi.org/10.1109/icass.2018.8652024.

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Farag, W., and Z. Saleh. "Traffic Signs Identification by Deep Learning for Autonomous Driving." In Smart Cities Symposium 2018. Institution of Engineering and Technology, 2018. http://dx.doi.org/10.1049/cp.2018.1382.

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Reports on the topic "Smart signs"

1

Sakulneya, Apidej, and Jeffery Roesler. Smart Construction Work-Zone Safety with V2I Passive Material Sensing. Illinois Center for Transportation, December 2024. https://doi.org/10.36501/0197-9191/24-027.

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This study explored new vehicle to infrastructure (V2I) technology in construction work zones (CWZ), where speeding, unsafe driving behaviors, and drivers' failure to obey traffic signs contribute significantly to elevated accident rates and fatalities. The objective of this research to advance CWZ safety by evaluating the potential of 3-axis magnetometers attached to a moving cart and traversing over a pavement-assisted passive sensing system can improve vehicle lateral positioning and warning in CWZ. Secondly, to develop a process to implement a programmable ferromagnetic oxide material for roadway coatings to interface with vehicles containing magnetometers on a field site. The research testing used a custom-built cart equipped with multiple 3-axis magnetometer to detect EM signals from invisible markings composed of 10% and 20% CrO₂, that were created to alert for speed, lane merges, and lane-keeping. The invisible marking strips were oriented and positioned in various ways to test the repeatability and ability to reliable detect a signal and signature that could be interpreted with automated algorithm. The experimental test results were acquired in a parking and signal-processing technique was established that normalized the raw signals, removed background EM signals not related to the created EM signatures, filtered high- and low-frequency noise, and took the derivative of the EM flux density with respect to the number of points. The V2I signals in the Y and Z-axes occasionally failed to exceed the minimum threshold set for the experiments, but the X-axis signals consistently exceeded the minimum value of ±200nT throughout the testing. The minimum threshold signals were used to calculate the speed of the cart, indicate a lane merge, and determine the lateral lane position of the cart. The detected speed signals closely correlated with the GPS speed measurements on the cart as well as provided accurate cart positioning and maneuvering actions. This pilot study demonstrated the potential of V2I communication specifically EM pavement signatures to enhance CWZ safety and provide detectable and actionable feedback to the vehicle.
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Sakulneya, Apidej, and Jeffery Roesler. Enhancing Construction Work-Zone Safety by Passive Pavement-to-Vehicle Communication. Illinois Center for Transportation, August 2023. http://dx.doi.org/10.36501/0197-9191/23-016.

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Construction work zones for roads pose significant safety challenges for drivers and workers, which can lead to accidents, injuries, fatalities, and property damage. Enhancing construction work-zone safety requires an understanding of the factors influencing accidents and fatalities and an evaluation of existing safety and traffic-management measures. The objective of this study was to improve work-zone safety for roadways, by connecting passive material sensing in the road with vehicle communication systems. A review of the main roadway work-zone safety literature found driver behavior, traffic congestion, and signage effectiveness to be the most significant factors. Vehicle speed, type of vehicles, type of collisions, and environmental conditions were found to have the most impact on the fatality rate in work zones. Past attempts to improve work-zone safety include adding rumble strips, more warning signs, and implementing smart-work-zone (SWZ) technologies. SWZ communication in-vehicle was found to reduce traffic speeds and promote faster and more consistent merging in the work-zone transition area. Pavement-assisted passive sensing, coupled with vehicle-to-infrastructure (V2I) communication, may offer enhanced in-vehicle speed and lane-merge warnings, which could improve driver awareness, reduce vehicle speeds, and improve work-zone safety. A laboratory-based experiment was developed to validate the theoretical configurations of smart work zones (SWZ) using passive pavement sensing, with the objective being to determine suitable spacings and inclination angles for the electromagnetic (EM) strips as speed and lane-merge warning systems, respectively. The experimental results revealed that these EM strips can estimate vehicle speed with sufficient accuracy, and the spacing of the EM-sensing strips influences the signal intensity. Additionally, the spacing and inclination angle of the EM strips influence the captured signals. This lab pilot study clearly demonstrated the potential of EM-based strips in enhancing speed and lane-merge warning systems using V2I technology for improved safety in roadway work zones.
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Khan, Mahreen. Lessons from Adaptive Programming. Institute of Development Studies, September 2022. http://dx.doi.org/10.19088/k4d.2022.142.

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The aim of adaptive programming (AP) is to produce adaptive, flexible, iterative, responsive, problem-driven, politically smart, locally led programmes which are effective and efficient and meet donor requirements for accountability. This is a rapid desk review of recent literature on AP including academic and grey sources. Section 2 covers the main challenges and barriers to successful implementation of AP. Key success factors are covered in Section 3. Selecting the appropriate monitoring and evaluation tools such as outcome harvesting or adapted versions of Value for Money to assist in measuring outcomes and embedding learning is key to successful AP, particularly in governance programmes, where results are usually long-term, non-linear and causality can be difficult to specifically trace back to the donor-funded intervention. Section 4 details three case studies from the governance arena as this report was requested to assist in designing adaptive governance programmes. Thus, the State Accountability and Voice Initiative (SAVI) from Nigeria, Chakua Hatua from Tanzania, and Within and Without the State (WWS) from conflict regions are included to show how flexible indicators, donor communication and negotiation, empowering teams and adopting monitoring and evaluation tools assisted in successful AP outcomes in different locations and political contexts. The challenges faced and drawbacks of certain processes were fed into efficient feedback loops fostering cross-communication, adaptation, and modification to ensure procedures and policies were changed accordingly. Sources used are primarily from the previous 5 years, as per K4D norms, unless the work is seminal, such as the ODI Report (2016) Doing Development Differently, which encouraged over 60 countries to sign up for the AP methodology. This review found a substantive body of literature on AP methodology the relative recency of academic attention on AP in the development less evidence is available on case studies of AP in the development sector, as there are not many ongoing projects and even fewer have been completed and results assessed (ICF, 2019). There is also a lack of case studies on how dynamic, empowered, innovative teams successfully apply adaptive programming ideas, particularly providing behavioural insights about such teams (Cooke, 2017) as well as little attention to precipitating and sustaining behaviour change in institutions over the longer term (Power, 2017).
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