Sensor-based Data Acquisition via Ubiquitous Device to Detect Muscle Strength Training Activities

Wianto, Elizabeth and Toba, Hapnes and Malinda, Maya and Chen, Chien-Hsu (2023) Sensor-based Data Acquisition via Ubiquitous Device to Detect Muscle Strength Training Activities. In: Artificial Intelligence, Social Computing and Wearable Technologies. AHFE International, pp. 398-406.

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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.

Item Type: Book Section
Contributors:
ContributionContributorsNIDN/NIDKEmail
UNSPECIFIEDWianto, ElizabethUNSPECIFIEDUNSPECIFIED
UNSPECIFIEDToba, HapnesUNSPECIFIEDUNSPECIFIED
UNSPECIFIEDMalinda, MayaUNSPECIFIEDUNSPECIFIED
UNSPECIFIEDChen, CHien-HsuUNSPECIFIEDUNSPECIFIED
Uncontrolled Keywords: Human activity recognition, Human-machine interface, Motion sensors, User experience, Wearable device
Subjects: T Technology > T Technology (General)
Depositing User: Perpustakaan Maranatha
Date Deposited: 18 Dec 2023 00:07
Last Modified: 18 Dec 2023 00:07
URI: http://repository.maranatha.edu/id/eprint/32388

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