Assistive Technologies for the Older People: Physical Activity Monitoring and Fall Detection

Lee, Raymond, Luo, Jin, Le, Chi Hieu, Phan, Phi, Le, Trung and Le Minh, Hoa (2017) Assistive Technologies for the Older People: Physical Activity Monitoring and Fall Detection. In: 6th International Conference on the Development of Biomedical Engineering in Vietnam (BME6). Springer, pp. 661-665. ISBN 978-981-10-4360-4

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Abstract

The advancements in information and communications technologies (ICT) and micro-nano manufacturing lead to innovative developments of smart sensors and intelligent devices as well as related assistive technologies which have been directly contributing to improving the life quality, from early detection of diseases to assisting daily living activities. Physical activity monitoring and fall detection are two specific examples where assistive technologies with the use of smart sensors and intelligent devices may play a key role in enhancing the life quality, especially improving the musculoskeletal health which is an essential aspect of health and wellbeing; and it is more important for the older people. This paper presents and discusses about how sensors and wearable devices, such as accelerometers and mobile phones, may be employed to promote the musculoskeletal health. Assistive technologies and methods for physical activity monitoring and fall detection are discussed, with the focus on the fall detection using mobile phone technology, and assessments of the loading intensity of physical activity in a non-laboratory environment. The possible research directions, challenges and potential collaborations in the areas of assistive technologies and ICT solutions for the older populations are proposed and addressed.

Item Type:	Book Section
Uncontrolled Keywords:	Assistive technology, Fall detection, Telehealth, Older people, Ageing population, Physical activity monitoring
Subjects:	B800 Medical Technology G900 Others in Mathematical and Computing Sciences
Department:	Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User:	Becky Skoyles
Date Deposited:	24 Oct 2017 13:41
Last Modified:	12 Oct 2019 14:35
URI:	http://nrl.northumbria.ac.uk/id/eprint/32370

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