Yaoyao Hao
Papers
1
Total Citations
4
H-Index
1
About
Yaoyao Hao’s research lies at the intersection of neural engineering and brain-machine interfaces (BMIs), with a primary focus on decoding dexterous hand movements from cortical activity. Her most-cited work, a 2015 study on estimating two-digit grip type and force level, demonstrates a novel approach using frequency decoding of motor cortex spike trains recorded from a 100-microelectrode array in non-human primates. This contribution is pivotal for advancing BMI systems that require precise, real-time control of prosthetic hands, as it bridges the gap between neural signals and both kinematic (grip type) and kinetic (force) parameters. Although her citation count is modest, the work’s technical rigor and direct relevance to restoring fine motor function in paralysis make it a foundational reference for researchers in neural decoding and rehabilitation robotics. Hao’s focus on multi-dimensional grasp estimation highlights her commitment to translating basic neuroscience into practical, high-fidelity assistive technologies.
Research Focus
Key Achievements
Top Papers
- 1