Yen Chao
Papers
3
Total Citations
59
H-Index
3
About
Yen Chao’s research lies at the intersection of assistive robotics, human-robot interaction, and rehabilitation engineering, with a focus on developing intelligent systems that enhance mobility and social integration for vulnerable populations. Her most significant contribution is the design of a sensory cues guided robotic walker for Parkinson’s Disease patients, which uses a non-intrusive depth camera mounted on the walker to perform real-time 3D leg pose tracking and gait analysis. This work, cited 32 times, enables the walker to deliver corrective sensory feedback, directly improving patient gait patterns. Chao further advanced this concept by refining depth image-based gait tracking methods (9 citations) and expanding into service robotics, where she developed systems capable of tracking people through data fusion and initiating socially appropriate interactions by inferring human group dynamics (18 citations). Her work is notable for its emphasis on completely non-intrusive sensing and real-time adaptation, bridging the gap between clinical rehabilitation and autonomous robotic assistance. With a cumulative impact of nearly 60 citations across her key papers, Chao’s research offers a compelling vision of robots that not only aid physical movement but also understand and engage with the complex social environments of their users.
Research Focus
Key Achievements
Top Papers
- 1
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- 3Depth image based gait tracking and analysis via robotic walker9 citations · 2015