{"title":"Human movement detection using attitude and heading reference system","authors":"G. Fourlas, Ilias Maglogiannis","doi":"10.1145/2674396.2674454","DOIUrl":"https://doi.org/10.1145/2674396.2674454","url":null,"abstract":"Among different types of human movement, falls are the most important since they related with high social and economic costs. Falls can cause various unintentional injuries such as fractures or in the worst-case scenario even lead to death, elderly citizen. Wearable devices present a growing interest in health care applications since they can detect signals of human activity and continuously monitoring critical parameters, offering a reliable and inexpensive solution. In this paper, an attitude and heading reference system - inertial measurement unit (IMU) is used in order to detect human movement and especially different type of falls.","PeriodicalId":192421,"journal":{"name":"Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114509950","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Session details: Data modeling and information management for pervasive assistive environments","authors":"","doi":"10.1145/3246791","DOIUrl":"https://doi.org/10.1145/3246791","url":null,"abstract":"","PeriodicalId":192421,"journal":{"name":"Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122933655","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Java framework for dialysis monitoring using a distributed network architecture","authors":"Hiren Sangani, A. Fink, Christian Peter","doi":"10.1145/2674396.2674437","DOIUrl":"https://doi.org/10.1145/2674396.2674437","url":null,"abstract":"Monitoring of dialysis patients is a typical scenario for multi-sensor systems, measuring vital parameters like heart rate or blood pressure. The main issue is to display and monitor the patients' vital parameters anytime and anywhere, using so-called pervasive environments. The vital parameters shall be available at the remote devices and at a central monitoring station, e.g. for targeted alerting and simultaneous monitoring of all patients from a central location. The proposed system contains different sensors to measure vital parameters, cell phones as remote devices and a web application as central monitor. A web server is implemented to handle the HTTP requests and responses from cell phones and web application. On the cell phone, the Android platform is used to implement the functionality for sensor and network communication interfaces using the integrated WLAN and classic Bluetooth protocols. The hierarchical architecture of the monitoring network allows the extension of the system by additional patients, wearing additional sensors. The functionality of the monitoring system is validated in an exemplary use case for two patients showing valuable results in terms of response time and availability.","PeriodicalId":192421,"journal":{"name":"Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117102599","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Towards intelligent decision making for risk screening","authors":"Panagiotis Moutafis, I. Kakadiaris","doi":"10.1145/2674396.2674431","DOIUrl":"https://doi.org/10.1145/2674396.2674431","url":null,"abstract":"Predicting the best next test for medical diagnosis is crucial as it can speed up diagnosis and reduce medical expenses. This determination should be made by fully utilizing the available information in a personalized manner for each patient. In this paper, we propose a method that uses synthesis to infer the best learning cohort for the patient under consideration. The constrained sample space is then used to select the best next test by maximizing the expected information gain.","PeriodicalId":192421,"journal":{"name":"Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130098109","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
N. Alshurafa, J. Eastwood, Suneil Nyamathi, Wenyao Xu, Jason J. Liu, M. Sarrafzadeh
{"title":"Battery optimization in smartphones for remote health monitoring systems to enhance user adherence","authors":"N. Alshurafa, J. Eastwood, Suneil Nyamathi, Wenyao Xu, Jason J. Liu, M. Sarrafzadeh","doi":"10.1145/2674396.2674407","DOIUrl":"https://doi.org/10.1145/2674396.2674407","url":null,"abstract":"Remote health monitoring (RHM) can help save the cost burden of unhealthy lifestyles. Of increased popularity is the use of smartphones to collect data, measure physical activity, and provide coaching and feedback to users. One challenge with this method is to improve adherence to prescribed medical regimens. In this paper we present a new battery optimization method that increases the battery lifetime of smartphones which monitor physical activity. We designed a system, WANDA-CVD, to test our battery optimization method. The focus of this report describes our in-lab pilot study and a study aimed at reducing cardiovascular disease (CVD) in young women, the Women's Heart Health study. Conclusively, our battery optimization technique improved battery lifetime by 300%. This method also increased participant adherence to the remote health monitoring system in the Women's Heart Health study by 53%.","PeriodicalId":192421,"journal":{"name":"Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125130638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"WI-PATCH: stick-on wireless sensor platform for continuous monitoring of human physiology","authors":"I. Paprotny, Varsha Evangeline Sudula","doi":"10.1145/2674396.2674427","DOIUrl":"https://doi.org/10.1145/2674396.2674427","url":null,"abstract":"World's population is aging at an unprecedented rate due to increased average lifespan. It is estimated that by 2050, over 45% of human population will be above the age of 50. Consequently there is great need for monitoring technologies that can facilitate remote and automated monitoring of elderly, as well as other population groups with other potential health monitoring needs. Current advances in wireless systems and rapidly growing use of cellphones enable deployment of wireless monitoring devices that can automatically collect patient physiological information, process and transmit it to a central point-of-care physician. In this work, we present the WI-PATCH, which is a flexible low-power stick-on wireless sensing platform that can be used to monitor selected parameters of human physiology. With form-factor similar to a common Band-Aid, the WI-PATCH can be attached on the skin of the patient. Forming a body-sensor network, multiple WI-PATCH devices can coordinate distributed data collection and can infer patient position or orientation. Using active low power RF technology, the WI-PATCH can remain operational for days without the need for frequent re-charging or battery replacement.","PeriodicalId":192421,"journal":{"name":"Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131246222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Service robotics for the home: a state of the art review","authors":"K. Doelling, J. Sin, D. Popa","doi":"10.1145/2674396.2674459","DOIUrl":"https://doi.org/10.1145/2674396.2674459","url":null,"abstract":"This paper provides a review of the state of the art of service robotics for the home. We were primarily interested in major features of commercially available robots and prototype research robots, as well as remaining research challenges and gaps for the future. The review was undertaken in support of an initiative to build advanced smart homes for disabled military service members and their families. These homes will be constructed with the aim to include advanced home automation, robotics, and other assistive technologies.","PeriodicalId":192421,"journal":{"name":"Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117233628","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Cognitive and context-aware applications","authors":"S. Rafiqi, S. Nair, E. Fernandez","doi":"10.1145/2674396.2674445","DOIUrl":"https://doi.org/10.1145/2674396.2674445","url":null,"abstract":"Diminished vigilance caused by fatigue, stress, and excessive mental load have been cited as a major cause for most aviation accidents. The job of an Air Traffic Controller (ATC) includes helping pilots maintain safe distances between planes, avoid all obstacles, as well as safe landing and takeoff. Unfortunately, the ATC work environment along with extended hours and overtime consistently results in widespread fatigued Air Traffic Controllers. Similarly, distracted, and fatigued drivers are also the cause of an increasing number of traffic related accidents and deaths. Dynamic working conditions along with the user's physical and emotional state have significant impact upon the usability and security of the system. In order to address this problem we present a Cognitive and Context-Aware Framework (CCF) that determines user's affective state, cognitive load, and context information. This enables applications to make real-time decisions to improve usability, security, or simply enhance user experience. The CCF framework constantly captures and analyzes user's biometric data (e.g. pupillometric indices of cognitive load), environmental analysis, location and time. The CCF can be used to develop a variety of applications that want to make decisions based upon user's current affective states and context. The application's decisions can be as simple as alerting a supervisor in the event an ATC is found to be fatigued/sleepy or disable critical functionality. The CCF also has applications in the gaming industry, healthcare, and advertisement. In this paper, we present the overview of the framework along with a dynamically adaptable user interface as an example of CCF application.","PeriodicalId":192421,"journal":{"name":"Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123982900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Session details: Usability and HCI issues","authors":"","doi":"10.1145/3246795","DOIUrl":"https://doi.org/10.1145/3246795","url":null,"abstract":"","PeriodicalId":192421,"journal":{"name":"Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128140597","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Gesture recognition in smart home using passive RFID technology","authors":"K. Bouchard, A. Bouzouane, B. Bouchard","doi":"10.1145/2674396.2674405","DOIUrl":"https://doi.org/10.1145/2674396.2674405","url":null,"abstract":"Gesture recognition is a well-establish topic of research that is widely adopted for a broad range of applications. For instance, it can be exploited for the command of a smart environment without any remote control unit or even for the recognition of human activities from a set of video cameras deployed in strategic position. Many researchers working on assistive smart home, such as our team, believe that the intrusiveness of that technology will prevent the future adoption and commercialization of smart homes. In this paper, we propose a novel gesture recognition algorithm that is solely based on passive RFID technology. This technology enables the localization of small tags that can be embedded in everyday life objects (a cup or a book, for instance) while remaining non intrusive. However, until now, this technology has been largely ignored by researchers on gesture recognition, mostly because it is easily disturbed by noise (metal, human, etc.) and offer limited precision. Despite these issues, the localization algorithms have improved over the years, and our recent efforts resulted in a real-time tracking algorithm with a precision approaching 14cm. With this, we developed a gesture recognition algorithm able to perform segmentation of gestures and prediction on a spatio-temporal data series. Our new model, exploiting works on qualitative spatial reasoning, achieves recognition of 91%. Our goal is to ultimately use that knowledge for both human activity recognition and errors detection.","PeriodicalId":192421,"journal":{"name":"Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124191760","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}