Yihe Ma
Papers
1
Total Citations
3
H-Index
1
About
Yihe Ma is a researcher at the forefront of neural interface systems and assistive robotics, with a primary focus on developing brain-controlled technologies that restore autonomy to individuals with severe motor impairments. Ma's most-cited work, "Study on Mind Controlled Robotic Arms by Collecting and Analyzing Brain Alpha Waves" (2018, 3 citations), pioneers a non-invasive approach to robotic arm control by harnessing alpha wave patterns from the brain. This study demonstrates how raw electroencephalography (EEG) signals can be processed through machine learning algorithms to translate neural activity into precise robotic commands, offering a low-cost, accessible alternative to invasive brain-computer interfaces. By emphasizing the detection and analysis of alpha waves, Ma addresses a critical challenge in neural engineering: extracting reliable control signals from noisy biological data. Though early in citation impact, this work lays essential groundwork for scalable mind-controlled prosthetics, bridging the gap between theoretical neuroscience and practical assistive devices. Ma's contributions highlight a commitment to human-centered robotics, where technological innovation directly serves the needs of disabled communities.
Research Focus
Key Achievements
Top Papers
- 1