Lorenzetti, Silvio; Huber, Dominik (2018). Tracking of strength training: validation of a motion-recognition algorithm and a pilot towards 1RM, muscle loading and fatique index using a smart watch In: Hume, Patria A.; Alderson, Jacqueline A.; Wilson, Barry D. (eds.) 36th Conference of the International Society of Biomechanics in Sports. ISBS Proceedings Archive: Vol. 36 (pp. 886-889). Marquette, MI: Northern Michigan Univerity
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Ubiquitous wrist-worn devices have become a noteworthy research topic in motion recognition of strength training exercises. This study was designed to develop a watchOS and iOS application and assess its exercise recognition and repetition counting accuracy. As a pilot, a method to estimate the 1 repetition maximum and muscle stress and fatigue was explored. To test the exercise recognition and repetition counting accuracy, a workout consisting of nine sets with five randomly ordered resistance training exercises and repetition amounts was conducted when wearing an Apple watch. Overall mean %error in exercise recognition was 3.5% and 0.92% in repetition counting. In the future this app can also be used for estimation of 1 repetition maximum, muscle stress and fatigue.
Item Type: |
Conference or Workshop Item (Paper) |
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Division/Institute: |
Swiss Federal Institute of Sports Magglingen SFISM > EHSM - Leistungssport |
Name: |
Lorenzetti, Silvio0000-0002-8339-8960; Huber, Dominik; Hume, Patria A.; Alderson, Jacqueline A. and Wilson, Barry D. |
ISSN: |
1999-4168 |
Series: |
ISBS Proceedings Archive |
Publisher: |
Northern Michigan Univerity |
Language: |
English |
Submitter: |
Service Account |
Date Deposited: |
24 Nov 2021 14:15 |
Last Modified: |
24 Nov 2021 14:20 |
Related URLs: |
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Uncontrolled Keywords: |
Strength training Sensor App Training control Training supervision |
ARBOR DOI: |
10.24451/arbor.10444 |
URI: |
https://arbor.bfh.ch/id/eprint/10444 |