2018-07-17 EMBC - J. Ma - Sensorised Resistance Band.pdf (294.07 kB)
Development of sensorised resistance band for objective exercise measurement: Activities classification trial
conference contribution
posted on 2018-05-15, 08:38 authored by Jianjia Ma, Eef HogervorstEef Hogervorst, Daniele Magistro, Vassilios Chouliaras, Massimiliano ZeccaMassimiliano ZeccaResistance 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.
Funding
Research partially supported by the HEFCE Catalyst grant and by the EESE startup grant.
History
School
- Sport, Exercise and Health Sciences
Published in
International Engineering in Medicine and Biology ConferenceCitation
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.Publisher
IEEEVersion
- AM (Accepted Manuscript)
Acceptance date
2018-04-07Publication date
2018Notes
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.ISBN
9781538636466ISSN
1558-4615Publisher version
Language
- en