[WiE Webinar] Cognitive-Physical Risk Modeling for Elderly Fall Prevention and Its Prospectives
Wednesday 26 November 2025 at 8:00 PM JST, 12:00 PM CET
By Emiko Uchiyama (Graduate School of Engineering, University of Tokyo, Japan)
Extraordinary Women-in-IES Webinar
Register now using the link below:
https://attendee.gotowebinar.com/register/8791074202208782944
Abstract:
Understanding humans from the robotics field is quite essential for assistive robotics, and potentially it brings new insights to human understandings compared to either conventional medical or psychological studies. In this talk, the speaker will introduce an example of modeling human cognitive/physical fall risk using the relationship between depth perception and foot maneuvers. Also, derived from the dataset construction method for the elderly, who are engaging both in a cohort study and in a precise engineering experiment, the speaker will introduce our approach reaches towards estimation of human subjectivity. Throughout the overviews of our current research project for fall prevention, the speaker will quickly introduce potential applications of the cognitive-physical modeling of humans from the robotics field.
Presenter’s bio:
Emiko Uchiyama is an assistant professor at the Graduate School of Engineering at the University of Tokyo. She got her B.S in Engineering, M.S in Mechano-Informatics, and Ph.D degrees from the University of Tokyo in 2014, 2016, 2019, each. She was a JSPS young researcher, a project assistant professor at the University of Tokyo, and an assistant professor at Tokyo Tech. Her research interests are human understandings for robotics and AI. She is a member of IEEE and the Robotics Society of Japan.