title: Development of a Wearable Instrumented Vest for Posture Monitoring and System Usability Verification Based on the Technology Acceptance Model.
abstract: Body posture and activity are important indices for assessing health and quality of life, especially for elderly people. Therefore, an easily wearable device or instrumented garment would be valuable for monitoring elderly people's postures and activities to facilitate healthy aging. In particular, such devices should be accepted by elderly people so that they are willing to wear it all the time. This paper presents the design and development of a novel, textile-based, intelligent wearable vest for real-time posture monitoring and emergency warnings. The vest provides a highly portable and low-cost solution that can be used both indoors and outdoors in order to provide long-term care at home, including health promotion, healthy aging assessments, and health abnormality alerts. The usability of the system was verified using a technology acceptance model-based study of 50 elderly people. The results indicated that although elderly people are anxious about some newly developed wearable technologies, they look forward to wearing this instrumented posture-monitoring vest in the future.
authors.affiliation: Department of Electrical Engineering, Center for Biomedical Engineering, Chang Gung University, Taoyuan 33302, Taiwan. wylin@mail.cgu.edu.tw.|Division of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital, Taoyuan 33305, Taiwan. wylin@mail.cgu.edu.tw.
authors.forename: Wen-Yen
authors.initials: WY
authors.lastname: Lin
authors.affiliation: Department of Electrical Engineering, Chang Gung University, Taoyuan 33302, Taiwan. sito.19@gmail.com.
authors.forename: Wen-Cheng
authors.initials: WC
authors.lastname: Chou
authors.affiliation: Division of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital, Taoyuan 33305, Taiwan. ttsai@mail.cgu.edu.tw.|Department of Industrial Design, Chang Gung University, Taoyuan 33302, Taiwan. ttsai@mail.cgu.edu.tw.
authors.forename: Tsai-Hsuan
authors.initials: TH
authors.lastname: Tsai
authors.affiliation: Department of Computer Science and Information Engineering, Center for Biomedical Engineering, Chang Gung University, Taoyuan 33302, Taiwan. cclin@mail.cgu.edu.tw.|Department of Neurosurgery, Chang Gung Memorial Hospital, Taoyuan 33305, Taiwan. cclin@mail.cgu.edu.tw.
authors.forename: Chung-Chih
authors.initials: CC
authors.lastname: Lin
authors.affiliation: Division of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital, Taoyuan 33305, Taiwan. leemiy@mail.cgu.edu.tw.|Graduate Institute of Medical Mechatronics, Center for Biomedical Engineering, Chang Gung University, Taoyuan 33302, Taiwan. leemiy@mail.cgu.edu.tw.
authors.forename: Ming-Yih
authors.initials: MY
authors.lastname: Lee
mesh_terms: D004867:Equipment Design; D006801:Humans; D008962:Models, Theoretical; D018670:Monitoring, Ambulatory; D010300:Parkinson Disease / Q000175:diagnosis; D011187:Posture / Q000502:physiology*; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted; D013672:Technology; D013784:Textiles; D000076251:Wearable Electronic Devices
keywords: accelerometer; motion sensing; posture monitoring; technology acceptance model (TAM); tilt angle; wearable