Proposal of a gait measurement and evaluation method using an IoRT care-walker

Abstract In Japan, which is an aging society, the number of people with reduced walking ability is expected to increase. Maintaining and improving walking ability is an issue in the rehabilitation field. Therefore, early detection of the risk of fall and other related issues is important in the elderly. By using the IoRT(Internet of Robotic Things) care-walker developed as a gait training device, it is possible to easily and automatically measure the gait characteristics without any special operation. In this paper, we propose an automatic measurement method for gait characteristics using an IoRT care-walker. The proposed method can detect the walking state using motion information obtained from the walker.

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Publication Details

Journal
ROBOMECH Journal
Published
2025-08-09
DOI
https://doi.org/10.1186/s40648-025-00319-0
Primary Topic
Balance, Gait, and Falls Prevention
Type
article
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article

Proposal of a gait measurement and evaluation method using an IoRT care-walker

Katsushi Ogawa, F. Suwa, Akihiro Yamada, Hiroaki Aoyama et al.
ROBOMECH Journal
Balance, Gait, and Falls Prevention
article

Proposal of a gait measurement and evaluation method using an IoRT care-walker

Katsushi Ogawa, F. Suwa, Akihiro Yamada, Hiroaki Aoyama, Seonghee Jeong
article en

Abstract

Abstract In Japan, which is an aging society, the number of people with reduced walking ability is expected to increase. Maintaining and improving walking ability is an issue in the rehabilitation field. Therefore, early detection of the risk of fall and other related issues is important in the elderly. By using the IoRT(Internet of Robotic Things) care-walker developed as a gait training device, it is possible to easily and automatically measure the gait characteristics without any special operation. In this paper, we propose an automatic measurement method for gait characteristics using an IoRT care-walker. The proposed method can detect the walking state using motion information obtained from the walker.

ROBOMECH JournalVol. 12(1)
Osaka Electro-Communication University (JP), Aino University (JP)
Openalex Percentile: Top 67%
Balance, Gait, and Falls Prevention
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