Ryo Eguchi, Ph.D.

Address

CyberAgent, Inc., AI tech studio, AI Lab
22F Shibuya Scramble Square 2-24-12 Shibuya, Shibuya-Ku, Tokyo 150-6121, Japan

Research Interests

Ubiquitous intelligent measurement and sensory feedback systems for human performance design
-Wearable/ambient sensor systems for human motion sensing using multi-sensor fusion and machine learning
-Wearable/portable haptic devices for human motion guidance, navigation, and control

Keywords

Human-Computer Interaction, Ubiquitous Computing, Wearable Computing, Human-Machine Systems
Motion Sensing/Estimation/Tracking, Wearable Haptics

Education

• Ph.D. in System Design Engineering, Keio University, Japan [Mar 2021]
  Thesis: Biomechanics-driven Stochastic Learning for Human Motion Sensing Systems [PDF] 

• M.S. in System Design Engineering, Keio University, Japan [Mar 2018]
  Thesis: Spatiotemporal and Kinetic Gait Analysis System Fusing Laser Range Sensor and Instrumented Insoles 

• B.S. in System Design Engineering, Keio University, Japan [Mar 2016]
  Thesis: Kinetic and Spatiotemporal Gait Analysis of Patients with Parkinson’s Disease 

Research Experiences

• Visiting Scholar, Stanford University, US (Advisor: Prof. Allison M. Okamura) [Apr 2023 – Mar 2024]
    Project: Wearable/portable haptic devices for human motion guidance, navigation, and control 

• Visiting Scholar, Keio University, Japan (Advisor: Prof. Junichi Ushiba) [Sep 2021 – Present]
    Project: Stochastic EEG signal processing for brain-machine interface (under JST Moonshot [Cybernetic Avatars]) 

• Postdoctoral Scholar, Stanford University, US (Advisor: Prof. Allison M. Okamura) [Sep 2021 – Mar 2023]
    Project: Wearable/portable haptic devices for human motion guidance, navigation, and control 

• Postdoctoral Scholar, Keio University, Japan (Advisor: Prof. Junichi Ushiba) [Apr – Sep 2021]
    Project: Stochastic EEG signal processing for brain-machine interface (under JST CREST [Symbiotic Interaction]) 

• Visiting Research Student, King’s College London, UK (Advisor: Dr. Matthew Howard) [May – Sep 2019]
    Project: Sensing and estimation of human motion using e-textile sensors

• Graduate Research Student, Keio University, Japan (Advisor: Prof. Masaki Takahashi) [Apr 2016 – Mar 2021]
    Project A: Estimation of ground reaction force using insole pressure sensors with probabilistic machine learning
    Project B: Leg tracking and occlusion compensation by fusion of laser range finder and insole pressure sensors 

I am a research scientist of CyberAgent, Inc., AI tech studio, AI Lab, Activity Understanding Team. I was a postdoctoral/visiting scholar of Collaborative Haptics and Robotics in Medicine (CHARM) Lab at Stanford University and a JSPS Overseas Postdoctoral Research Fellow from 2021 to 2024. I received the B.S., M.S., and Ph.D. degrees in Engineering (System Design) from Keio University (Japan) in 2016, 2018, and 2021, respectively. I have been working on ubiquitous intelligent measurement and sensory feedback systems for human performance design, which include (A) wearable/ambient sensor systems for motion sensing using multi-sensor fusion and machine learning, and (B) wearable/portable haptic devices for motion guidance, navigation, and control. 
See details: Google Scholar / Research Gate / ORCID / LinkedIn / Researchmap

I am a co-funder of Humonii, which is developing a semi-automated wheelchair with intuitive control using motion sensing and haptic feedback.  We are a team currently participating in "Mobility for ALL―Bringing the Potential of Mobility to Everyone" category of its Make a Move Project, an idea contest aiming to realize the practical implementation of ideas and solutions in society, organized by Toyota Mobility Foundation.
See details: News Release of Toyota Mobility Foundation, Mobility for All (English/Japanese)

I was also a co-funder and organizer of Japanese Academic Seminars at Stanford (JASS), which is an academic seminar series for the Japanese language community at Stanford University. In this seminar series, researchers from Stanford and surrounding research institutions and companies are invited as speakers to share their research topics in an easy-to-understand manner for participants from various backgrounds regardless of academia/industry. We also hold "Academia Meets Industry," an industry-academia exchange program, where companies and startups are invited to make business pitches.