標題: IoT/M2M Wearable-based Activity-Calorie Monitoring and Analysis for Elders
作者: Soraya, Sabrina I.
Chiang, Ting-Hui
Chan, Guo-Jing
Su, Yi-Juan
Yi, Chih-Wei
Tseng, Yu-Chee
Ching, Yu-Tai
資訊工程學系
電機工程學系
Department of Computer Science
Department of Electrical and Computer Engineering
公開日期: 1-Jan-2017
摘要: With the growth of aging population, elder care service has become an important part of the service industry of Internet of Things. Activity monitoring is one of the most important services in the field of the elderly care service. In this paper, we proposed a wearable solution to provide an activity monitoring service on elders for caregivers. The system uses wireless signals to estimate calorie burned by the walking and localization. In addition, it also uses wireless motion sensors to recognize physical activity, such as drinking and restroom activity. Overall, the system can be divided into four parts: wearable device, gateway, cloud server, and caregiver's android application. The algorithms we proposed for drinking activity are Decision Tree (J48) and Random Forest (RF). While for restroom activity, we proposed supervised Reduced Error Pruning (REP) Tree and Variable Order Hidden Markov Model (VOHMM). We developed a prototype service Android app to provide a life log for the recording of the activity sequence which would be useful for the caregiver to monitor elder activity and its calorie consumption.
URI: http://hdl.handle.net/11536/147127
ISSN: 1094-687X
期刊: 2017 39TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
起始頁: 2390
結束頁: 2393
Appears in Collections:Conferences Paper