T. Brunschwiler, Jonas R. M. Weiss, S. Paredes, A. Sridhar, Ulrike Pluntke, Sophie Mai Chau, Sebastian Gerke, Jorge Barroso, Emanuel Loertscher, Y. Temiz, P. Ruch, Bruno Michel, Sufi Zafar, T. V. Kessel
{"title":"Internet of the Body - Wearable Monitoring and Coaching","authors":"T. Brunschwiler, Jonas R. M. Weiss, S. Paredes, A. Sridhar, Ulrike Pluntke, Sophie Mai Chau, Sebastian Gerke, Jorge Barroso, Emanuel Loertscher, Y. Temiz, P. Ruch, Bruno Michel, Sufi Zafar, T. V. Kessel","doi":"10.1109/GIOTS.2019.8766409","DOIUrl":null,"url":null,"abstract":"Wearables that acquire relevant vital and contextual parameters improve work safety as well as quality of life of elderly citizens or patients with chronic diseases. A scalable architecture connects wearables via a hub to the cloud and combines edge with cloud computing to provide optimal user interaction and allow analytics on multi-stream data. The functionality was expanded to enable demonstrations of physiological and psychological stress classification in firemen and mobile health interventions in patients with lung diseases. Following an initial table-top edge demonstrator a hemi-spherical display improves emotional contact to users. A first use case tested an integrated acquisition and inference system that was trained to differentiate physical and emotional stress. The system measured stress in firemen during training in a cage maze and in hot training locations and provided functions to acquire expert labels. A second use case focused on mobile-health intervention for patients suffering from Chronic-Obstructive-Pulmonary-Disease (COPD), to improve their quality-of-life. Patient-physician conversations are extended through a communication channel and a virtual assistant provides disease related information, reminders, and alerts.","PeriodicalId":149504,"journal":{"name":"2019 Global IoT Summit (GIoTS)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Global IoT Summit (GIoTS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GIOTS.2019.8766409","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Wearables that acquire relevant vital and contextual parameters improve work safety as well as quality of life of elderly citizens or patients with chronic diseases. A scalable architecture connects wearables via a hub to the cloud and combines edge with cloud computing to provide optimal user interaction and allow analytics on multi-stream data. The functionality was expanded to enable demonstrations of physiological and psychological stress classification in firemen and mobile health interventions in patients with lung diseases. Following an initial table-top edge demonstrator a hemi-spherical display improves emotional contact to users. A first use case tested an integrated acquisition and inference system that was trained to differentiate physical and emotional stress. The system measured stress in firemen during training in a cage maze and in hot training locations and provided functions to acquire expert labels. A second use case focused on mobile-health intervention for patients suffering from Chronic-Obstructive-Pulmonary-Disease (COPD), to improve their quality-of-life. Patient-physician conversations are extended through a communication channel and a virtual assistant provides disease related information, reminders, and alerts.