Assistive technologies for the older people: Physical activity monitoring and fall detection

Conference item


Lee, R, Luo, J, Le, CH, Phan, PA, Le, T and Le, MH (2016). Assistive technologies for the older people: Physical activity monitoring and fall detection. The 6th International Conference on the Development of Biomedical Engineering in Vietnam. Ho Chi Minh City, Vietnam 27 - 29 Jun 2016 London South Bank University. doi:10.1007/978-981-10-4361-1_113
AuthorsLee, R, Luo, J, Le, CH, Phan, PA, Le, T and Le, MH
Abstract

© Springer Nature Singapore Pte Ltd. 2018. 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 dis-cusses 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.

Year2016
JournalIFMBE Proceedings
PublisherLondon South Bank University
Journal citation63, pp. 661-665
ISSN1680-0737
Digital Object Identifier (DOI)doi:10.1007/978-981-10-4361-1_113
Accepted author manuscript
License
CC BY 4.0
Publication dates
Print27 Jun 2016
Publication process dates
Deposited17 Feb 2018
Accepted01 Mar 2016
ISBN9789811043604
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https://openresearch.lsbu.ac.uk/item/8737y

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