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dc.contributor.authorSoraya, Sabrina I.en_US
dc.contributor.authorChiang, Ting-Huien_US
dc.contributor.authorChan, Guo-Jingen_US
dc.contributor.authorSu, Yi-Juanen_US
dc.contributor.authorYi, Chih-Weien_US
dc.contributor.authorTseng, Yu-Cheeen_US
dc.contributor.authorChing, Yu-Taien_US
dc.date.accessioned2018-08-21T05:57:09Z-
dc.date.available2018-08-21T05:57:09Z-
dc.date.issued2017-01-01en_US
dc.identifier.issn1094-687Xen_US
dc.identifier.urihttp://hdl.handle.net/11536/147127-
dc.description.abstractWith 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.en_US
dc.language.isoen_USen_US
dc.titleIoT/M2M Wearable-based Activity-Calorie Monitoring and Analysis for Eldersen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2017 39TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)en_US
dc.citation.spage2390en_US
dc.citation.epage2393en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.department電機工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.contributor.departmentDepartment of Electrical and Computer Engineeringen_US
dc.identifier.wosnumberWOS:000427085302203en_US
Appears in Collections:Conferences Paper