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Title: Development of sensorised resistance band for objective exercise measurement: Activities classification trial
Authors: Ma, Jianjia
Hogervorst, Eef
Magistro, Daniele
Chouliaras, V.A.
Zecca, Massimiliano
Keywords: Resistance band
Activity classification
Dementia treatment
Artificial Intelligence
Issue Date: 2018
Publisher: IEEE
Citation: MA, J. ... et al., 2018. Development of sensorised resistance band for objective exercise measurement: Activities classification trial. Presented at the 40th International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'18), Honolulu, Hawaii, July 17-21st, pp. 3942 - 3945.
Abstract: Resistance bands are often used in resistance training programs for older adults. Despite their widespread use, there is a lack of objective assessment of the actual strength, speed and precision of the movements during these exercises. Therefore, this paper presents the development of a sensorised resistance-band and a preliminary trial of activities classification by using artificial intelligence. The results show that in the preliminary trial, the classification accuracy of 4 different activities reached over 96% using accelerometer data only. A future study will be based on the sensorised resistance band to quantify resistance band exercises objectively in elderly people.
Description: Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor: Research partially supported by the HEFCE Catalyst grant and by the EESE startup grant.
Version: Accepted for publication
DOI: 10.1109/EMBC.2018.8513405
URI: https://dspace.lboro.ac.uk/2134/32963
Publisher Link: https://doi.org/10.1109/EMBC.2018.8513405
ISBN: 9781538636466
ISSN: 1558-4615
Appears in Collections:Conference Papers and Presentations (Mechanical, Electrical and Manufacturing Engineering)
Conference Papers and Presentations (Sport, Exercise and Health Sciences)

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