Vicki Chan
Papers
1
Total Citations
94
H-Index
1
About
Vicki Chan’s research lies at the intersection of rehabilitation robotics, neurorehabilitation, and human–machine interaction, with a focus on restoring hand function after neurological injury. Her most cited work, “Design and preliminary evaluation of the FINGER rehabilitation robot” (94 citations), introduces the FINGER (Finger Individuating Grasp Exercise Robot) device, a novel robotic system that assists stroke patients in performing naturalistic, individuated finger curling movements. This paper is notable for its dual contribution: it not only presents a mechanical design that precisely controls the challenge of finger movement but also integrates musical computer game play to enhance patient engagement and quantify finger individuation—a key metric for assessing recovery. By targeting the complex problem of fine motor control, Chan’s work has provided a scalable, engaging tool for rehabilitation that bridges engineering and clinical practice. Her contributions have influenced subsequent designs in assistive robotics and have been cited widely in the fields of neurorehabilitation and human–robot interaction, underscoring her impact on developing technologies that restore independence and quality of life for individuals with motor impairments.
Research Focus
Key Achievements
Top Papers
- 1