Affiliation
University of BedfordshireChangchun University of Science and Technology
Warwick University
Issue Date
2021-01-23
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Advanced Manufacturing and Automation X. IWAMA 2020.Abstract
Sit-to-stand (STS) difficulties are common among elderly because of the decline of their cognitive capabilities and motor functions. The way to help is to encourage them to practice their own functions and to assist only at the point where they need during STS processes. The provision of such support requires the elderly’s intention of standing up to be recognised and the amount of support as well as the moment when the support would be needed to be predicted. The research presented in this paper focuses on intention recognition as it is difficult due to uncertainties existing in STS processes and differences in individual’s biomechanical features. This paper presents fuzzy logic based self-adaptive approach to the recognition of standing up intention from sensor signals that contain the uncertainties.Citation
Li D, Lu H, Qiu R, Maple C, Wang Z (2021) 'Sit-to-stand intention recognition', in Wang Y, Martinsen K, Yu T, Wang K (ed(s).). Advanced Manufacturing and Automation X. IWAMA 2020., edn, : Springer Science and Business Media Deutschland GmbH pp.65-72.Additional Links
https://link.springer.com/chapter/10.1007%2F978-981-33-6318-2_8Type
Book chapterLanguage
enISBN
9789813363175ae974a485f413a2113503eed53cd6c53
10.1007/978-981-33-6318-2_8