Ching-Ying Cheng

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About

Ching-Ying Cheng’s research sits at the intersection of assistive robotics, rehabilitation engineering, and human-robot interaction, with a particular focus on improving the lives of elderly individuals and patients with neurodegenerative disorders. Her most influential work centers on developing a sensory cues guided robotic walker that uses a non-intrusive, depth image-based system for real-time gait analysis and leg pose tracking. This innovation, detailed in her 2015 paper (32 citations), provides critical feedback to help correct and improve the walking patterns of Parkinson’s Disease patients, offering a practical, technology-driven approach to rehabilitation. Cheng further advanced this method by integrating the depth sensor directly onto the walker, enabling continuous, autonomous gait monitoring without cumbersome wearable devices. Beyond physical assistance, she has explored the social and cognitive dimensions of caregiving through a recommendation dialogue system that employs pragmatic argumentation to persuade elderly users toward healthier behaviors, such as dietary choices. Her work demonstrates a holistic vision of robotic care—combining precise biomechanical sensing with empathetic, persuasive communication—making her a notable contributor to the development of intelligent, user-centered assistive technologies for aging populations.