A fun and effective walking training system using AI and XR technology.
Monozukuri (Saitama University Research Seed Collection 2025-27 p.66)
Keywords: biometric information, motion analysis, AI, XR, rehabilitation
According to the Ministry of Health, Labour and Welfare, it has been reported that the top three factors leading to the need for support are frailty due to aging, fractures and falls, and joint diseases. These are related to a decline in walking ability, making it important for active seniors to prevent this decline. However, there are challenges such as the need for specialized equipment and guidance from experts for walking training, as well as the tendency for motivation to decrease due to the monotonous nature of walking exercises. Therefore, we are developing a walking evaluation and training system that does not require expert intervention, can be used in daily life, and allows for enjoyable training. Specifically, we are building an AI for generating target walking patterns that takes into account individual physical differences, developing a walking feedback training system, and creating a walking motivation support system using VR video generation AI that reflects real-world spatial information. Additionally, we conduct gait assessments through motion analysis and emotional evaluations through biometric information measurement for each assessment.
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basic information
Yusuke Osawa, Assistant Professor Graduate School of Science and Engineering, Department of Mechanical Science, Human Support Engineering Area 【Recent Research Themes】 ● Gait feedback training system using goal gait generation considering individual physical differences ● Walking training support system using real-time scene transformation with machine learning and XR technologies ● Development of a shoe-type gait evaluation system usable in daily life ● Estimation of next year's specific health check data considering uncertainty ● Research on driving behavior prediction for motorcycles
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【Appeal Points to the Industry】 ● Gait feedback training system considering individual physical differences - The generated target gait was confirmed by physical therapists to validate the learning. - Learning from diverse walking disabilities is expected to expand versatility. ● Walking assistance system using VR video generation considering real-world information - It can be safely used in any location as it reflects real-world information. - By changing the content of the scene transformation, it is expected to not only maintain motivation but also provide relaxation effects and influence gait. 【Examples of Practical Application, Use Cases, and Utilization】 ● Gait feedback training system considering individual physical differences - Introduction to care and training facilities to reduce the burden on physical therapists. ● Walking assistance system using VR video generation considering real-world information - Expansion of use through introduction into game applications.
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Walking assistance system using VR video generation considering real-world spatial information.
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The Saitama University Open Innovation Center is a center that functions as a liaison office for industry-academia-government collaboration. It consists of three departments: the Industry-Academia-Government Collaboration Department, the Intellectual Property Department, and the Startup Support Department, each staffed with coordinators well-versed in various fields. The center's activities include solving technical challenges in companies, supporting the implementation of joint research, and conducting technology transfer aimed at introducing and utilizing Saitama University's intellectual property.
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