w.2 · Workshop paper ·
Intelligence Walker: A Seamless Mobility Assist Device for the Elderly
Yunho Choi, Dohyeon Yeo, Seokhyun Hwang, Minwoo Seong, JaeYoung Moon, Yiyue Luo, Wojciech Matusik, Daniela Rus, Kyung-Joong Kim
ICRA 2024 Workshop on Advancing Wearable Devices and Applications through Novel Design, Sensing, Actuation, and AI.
Abstract
This paper focuses on creating an Intelligence walker that provides the best experience to users by utilizing artificial intelligence and sensing technologies (Ambient AI, unobtrusive sensing) that are invisible to humans. Our walker perceives the user’s intentions and surrounding environment using tactile and hidden IMU sensors. Utilizing this, we enable the wheels to roll at the desired speed of the user or change the form of the walker itself to match the surrounding environment. The system enables to control of speed with an average error of 0.046 m/s and measures the surrounding environment’s angle to keep the walker parallel. Our system will undergo usability testing with several general users and some elderly users in the future.
Topics and format
- Motor
- Human-AI Interaction
- Assistive & Health
- Poster & Workshop