Matthew P. Frazer
Papers
1
Total Citations
4
H-Index
1
About
Matthew P. Frazer’s research lies at the intersection of motor control, robotics, and human-computer interaction, with a focus on understanding how visual feedback shapes bimanual coordination. His most cited work, “Effect of Visual Information on Dominant and Non-dominant Hands During Bimanual Drawing with a Robotic Platform” (2019, 4 citations), investigates how blocking visual information from one hand alters motor performance during synchronized bimanual tasks. Using a robotic platform, Frazer demonstrated that the dominant and non-dominant hands respond asymmetrically to visual deprivation, revealing fundamental insights into interlimb coordination and sensorimotor integration. This work has implications for rehabilitation robotics, where understanding visual-motor coupling can improve therapies for stroke patients or individuals with motor impairments. Though early in his career, Frazer’s contributions are notable for their methodological rigor, combining robotic instrumentation with precise behavioral analysis. His findings challenge assumptions about hand dominance in bimanual tasks and offer a foundation for designing adaptive robotic systems that compensate for sensory loss. As a rising voice in motor neuroscience, Frazer’s research promises to deepen our understanding of how the brain integrates vision and movement.
Research Focus
Key Achievements
Top Papers
- 1