Dollapom Anopas
Papers
1
Total Citations
2
H-Index
1
About
Dollapom Anopas is a researcher advancing the field of rehabilitation robotics and human movement analysis, with a focus on interlimb coordination for assistive technologies. Her key research areas include real-time phase extraction from limb movements, neural control of locomotion, and the development of adaptive algorithms for spinal cord injury rehabilitation. In her most-cited work, "Phase Learning to Extract Phase from Forelimb(s) and Hindlimb(s) Movement in Real Time" (2021), Anopas tackles the critical challenge of dynamically mapping limb movements for assistive devices, addressing the high signal variability that complicates real-time control. This contribution is vital for enhancing walking gait in spinal cord injured patients, offering a pathway to more responsive exoskeletons and neuroprosthetics. While her citation count is still growing, her work represents a foundational step toward seamless human-machine integration in rehabilitation. Anopas’s research is particularly notable for its focus on real-time adaptability, a key hurdle in clinical applications. Her efforts underscore a commitment to bridging computational modeling with practical therapeutic outcomes, making her a promising voice in the intersection of biomechanics and assistive robotics.
Research Focus
Key Achievements
Top Papers
- 1