Design and implementation of behaviour detection system for the elderly based on smart phone

Dong, Min; Hou, Zhi; Liu, Zhitian; Bi, Sheng; Lin, Peidong; Zhu, Liangchang; Jiayi, Xin; Liu, Liangpeng

doi:10.1109/robio.2012.6491219

Cited by 4 publications

(1 citation statement)

References 6 publications

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“…Other examples of network infrastructures or frameworks for behaviour analysis and fall detection in the elderly are shown in [ 58 , 59 , 60 , 61 ]. A recent work [ 62 ], extended the system architecture by including mobile cloud computing implemented on an Android device for sending alerts, yet adopting an easy-to-use and familiar user-interface.…”

Section: Wearables For Senior Citizens: Related Work and Limitatimentioning

confidence: 99%

A Review of Activity Trackers for Senior Citizens: Research Perspectives, Commercial Landscape and the Role of the Insurance Industry

Tedesco

Barton

O’Flynn

2017

Sensors

107

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The objective assessment of physical activity levels through wearable inertial-based motion detectors for the automatic, continuous and long-term monitoring of people in free-living environments is a well-known research area in the literature. However, their application to older adults can present particular constraints. This paper reviews the adoption of wearable devices in senior citizens by describing various researches for monitoring physical activity indicators, such as energy expenditure, posture transitions, activity classification, fall detection and prediction, gait and balance analysis, also by adopting consumer-grade fitness trackers with the associated limitations regarding acceptability. This review also describes and compares existing commercial products encompassing activity trackers tailored for older adults, thus providing a comprehensive outlook of the status of commercially available motion tracking systems. Finally, the impact of wearable devices on life and health insurance companies, with a description of the potential benefits for the industry and the wearables market, was analyzed as an example of the potential emerging market drivers for such technology in the future.

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