Sit-to-stand intention recognition

Dayou Li
,
Hang Lu
,
Renxi Qiu
,
Carsten Maple
,
Zuobin Wang

University of Bedfordshire
,
University of Warwick

Research Output:

Chapter in Book/Report/Conference proceeding

Conference contribution

Peer-review

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.

Publication Information

Output type

Research Output:

Chapter in Book/Report/Conference proceeding

Conference contribution

Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 65-72 (8 pages)

Publication milestones

Published - 23/01/2021

Publication status

Published - 23/01/2021

Volume

737

Publisher

Springer, Japan, India, Australia, Germany, United States, United Arab Emirates, Austria, Switzerland, Italy, China, United Kingdom, Netherlands, Brazil, France, Singapore