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On the Impact of Biceps Muscle Fatigue in Human Activity Recognition

Department of Computer Science and Software Engineering, Concordia University, Montreal, QC H3G 1M8, Canada
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Academic Editor: Raffaele Gravina
Sensors 2021, 21(4), 1070; https://doi.org/10.3390/s21041070
Received: 26 November 2020 / Revised: 26 January 2021 / Accepted: 1 February 2021 / Published: 4 February 2021
(This article belongs to the Special Issue Physical Human Activity Recognition Using Wearable Sensors)
Nowadays, Human Activity Recognition (HAR) systems, which use wearables and smart systems, are a part of our daily life. Despite the abundance of literature in the area, little is known about the impact of muscle fatigue on these systems’ performance. In this work, we use the biceps concentration curls exercise as an example of a HAR activity to observe the impact of fatigue impact on such systems. Our dataset consists of 3000 biceps concentration curls performed and collected from 20 volunteers aged between 20–35. Our findings indicate that fatigue often occurs in later sets of an exercise and extends the completion time of later sets by up to 31% and decreases muscular endurance by 4.1%. Another finding shows that changes in data patterns are often occurring during fatigue presence, causing seven features to become statistically insignificant. Further findings indicate that fatigue can cause a substantial decrease in performance in both subject-specific and cross-subject models. Finally, we observed that a Feedforward Neural Network (FNN) showed the best performance in both cross-subject and subject-specific models in all our evaluations. View Full-Text
Keywords: human activity recognition; wearable sensors; wearable sensor data; machine learning human activity recognition; wearable sensors; wearable sensor data; machine learning
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MDPI and ACS Style

Elshafei, M.; Costa, D.E.; Shihab, E. On the Impact of Biceps Muscle Fatigue in Human Activity Recognition. Sensors 2021, 21, 1070. https://doi.org/10.3390/s21041070

AMA Style

Elshafei M, Costa DE, Shihab E. On the Impact of Biceps Muscle Fatigue in Human Activity Recognition. Sensors. 2021; 21(4):1070. https://doi.org/10.3390/s21041070

Chicago/Turabian Style

Elshafei, Mohamed, Diego E. Costa, and Emad Shihab. 2021. "On the Impact of Biceps Muscle Fatigue in Human Activity Recognition" Sensors 21, no. 4: 1070. https://doi.org/10.3390/s21041070

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