A Mobile Gait Training System Providing an Active Interaction
Ro-Bin Lee, Young S. Lee, Hyosun Kweon, Hyun Kyung Kim, Yoon Sang Kim
- Year
- 2022
- Citations
- 2
- Access
- Open access
Abstract
In this paper, we propose an interactive mobile gait training system that allows trainees to interact actively with its content (the gait training content). The proposed system is a new type of gait training one combining a mobile robot with virtual reality (contents). It is a mobile system that projects virtual contents (for example, virtual footprints) for gait training on the actual ground (or floor). The performance and effectiveness of the proposed system were examined through a trainee’s foot recognition test and usability evaluation. The test results confirmed that the proposed system showed an average recognition ratio of more than 97%, meaning that the system could accurately recognize the trainee’s foot. In addition, as a result of usability evaluation, the overall satisfaction was 86%, confirming that the proposed system is effective.
Keywords
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