Sensor-Based Data Acquisition via Ubiquitous Device to Detect Muscle
Strength Training Activities
- URL: http://arxiv.org/abs/2401.15124v1
- Date: Fri, 26 Jan 2024 10:44:44 GMT
- Title: Sensor-Based Data Acquisition via Ubiquitous Device to Detect Muscle
Strength Training Activities
- Authors: E. Wianto, H. Toba, M. Malinda and Chien-Hsu Chen
- Abstract summary: This research utilizes embedded sensors for Human Activity Recognition (HAR)
Based on 25 participants data, this study has successfully identified important sensor attributes that play important roles in the right and left hands for muscle strength motions.
- Score: 0.0
- License: http://creativecommons.org/licenses/by-sa/4.0/
- Abstract: Maintaining a high quality of life through physical activities (PA) to
prevent health decline is crucial. However, the relationship between
individuals health status, PA preferences, and motion factors is complex. PA
discussions consistently show a positive correlation with healthy aging
experiences, but no explicit relation to specific types of musculoskeletal
exercises. Taking advantage of the increasingly widespread existence of
smartphones, especially in Indonesia, this research utilizes embedded sensors
for Human Activity Recognition (HAR). Based on 25 participants data, performing
nine types of selected motion, this study has successfully identified important
sensor attributes that play important roles in the right and left hands for
muscle strength motions as the basis for developing machine learning models
with the LSTM algorithm.
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