Development of a Modular Data Acquisition System Based on Multimodal Sensors for Gait Assistance Systems

Existing studies mainly conducted experiments using a single sensor system targeting static motion in a limited environment; therefore, the scope of application was limited. However, as the demand for walking and muscle assistance systems has recently increased in various fields, a data acquisition system for developing walking assistance systems that can accommodate various walking conditions is required. Consequently, in this study, we developed a modular data acquisition system based on multimodal sensors for gait assistance systems. This system consists of a multimodal sensor system including a flex sensor, IMU, EMG sensor, and insole sensor, and the data acquisition system is modularized for wearer convenience, range of motion, and efficient data collection and processing. The experiment was conducted on healthy adult males without gait disorders in a variety of daily walking situations, including walking on a flat ground, sprinting, uphill and downhill walking, and going up and down stairs. The effectiveness of the walking assistance system was proven through analyzing the collected data.

Authors

Publication Details

Journal
Journal of Institute of Control Robotics and Systems
Published
2024-08-11
DOI
https://doi.org/10.5302/j.icros.2024.24.0076
Citations
2
Primary Topic
Gait Recognition and Analysis
Type
article
Field-Weighted Citation Impact
0.37
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article

Development of a Modular Data Acquisition System Based on Multimodal Sensors for Gait Assistance Systems

MyeongSeop Kim, Jae‐Han Park, Yong-Woo Shin, Jang-Hoon On et al.
2 citations
Journal of Institute of Control Robotics and Systems
Gait Recognition and Analysis
0.37
article

Development of a Modular Data Acquisition System Based on Multimodal Sensors for Gait Assistance Systems

MyeongSeop Kim, Jae‐Han Park, Yong-Woo Shin, Jang-Hoon On, Sangphil Choi
article en
2 citations

Abstract

Existing studies mainly conducted experiments using a single sensor system targeting static motion in a limited environment; therefore, the scope of application was limited. However, as the demand for walking and muscle assistance systems has recently increased in various fields, a data acquisition system for developing walking assistance systems that can accommodate various walking conditions is required. Consequently, in this study, we developed a modular data acquisition system based on multimodal sensors for gait assistance systems. This system consists of a multimodal sensor system including a flex sensor, IMU, EMG sensor, and insole sensor, and the data acquisition system is modularized for wearer convenience, range of motion, and efficient data collection and processing. The experiment was conducted on healthy adult males without gait disorders in a variety of daily walking situations, including walking on a flat ground, sprinting, uphill and downhill walking, and going up and down stairs. The effectiveness of the walking assistance system was proven through analyzing the collected data.

Journal of Institute of Control Robotics and SystemsVol. 30(8)
Partnerships for the goals
Openalex Percentile: Top 44%
Gait Recognition and Analysis
0.37
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Development of a Modular Data Acquisition System Based on Multimodal Sensors for Gait Assistance Systems — MyeongSeop Kim, Jae‐Han Park, et al. · Journal of Institute of Control Robotics and Systems (2024) | TGRS Research Map | TGRS