Subtly measuring biometric information for health science and life support!
Information and Communication Technology (Saitama University Research Seed Collection 2025-27 p.91)
Healthcare, health science, living support, biological information measurement, non-invasive brain function measurement, human interface, affective computing, artificial intelligence, digital transformation (DX), Internet of Things (IoT)
By adding sensing functions to everyday home appliances and mechanical systems, and utilizing IoT (Internet of Things) technology, we can develop devices that monitor human health conditions. By combining these devices and systems with wearable, non-invasive, and low-cost biometric measurement sensors and medical devices, we can measure biometric data such as life logs and analyze it using AI (artificial intelligence) techniques, enabling support for home healthcare and health management, including disease onset prediction. Additionally, applying these technologies to mechanical systems allows for monitoring operational status and predictive maintenance. We are conducting research and development on AI technologies for home healthcare and health support, IoT technologies, non-invasive biometric measurement, human interface technologies for user-friendly device design, and brain-machine interface technologies, contributing to the advancement and digital transformation (DX) in the field of health sciences.
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Keiichi Watanuki, Professor Graduate School of Science and Engineering, Department of Mechanical Science, Human Support Engineering Area 【Recent Research Themes】 ● Development of user-friendly medical and healthcare devices ● Development of interfaces based on insights from neuroscience and ergonomics ● Development of intelligent wheelchairs and walking assistive devices ● Development of high-precision wearable biosignal visualization technology ● Quantitative evaluation of human senses and sensitivities
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【Appeal Points to the Industry】 ● Elucidation of human cognition, judgment, and behavioral processes, along with quantitative evaluation of psychological and cognitive states ● Brain-machine interface technology that supports actions as intended ● Application of AI technologies such as deep learning for the analysis of various biological information ● Monitoring machine conditions using IoT technology and predictive maintenance through AI technology ● Possession of numerous biological information measurement-related devices: non-invasive brain function measurement devices, vital sign measurement devices, vascular endothelial function FMD testing devices, thermal environment evaluation laboratories, virtual reality devices, haptic devices, high-speed cameras, motion capture devices, gaze measurement devices, etc. 【Examples of Practical Use, Applications, and Utilization】 ● IoT technology for non-invasive biological measurement and evaluation of sensory and emotional responses through biological information measurement ● Development of wearable biological information measurement devices ● AI technology application analysis systems for various biological information ● Health status monitoring systems through biological information measurement ● Living environment evaluation systems in VR environments
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Non-invasive biological information measurement-based safe driving support system
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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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