Hanghang Ma
Papers
1
Total Citations
17
H-Index
1
About
Hanghang Ma is a leading researcher at the intersection of intelligent mining technology and human-robot interaction, with a primary focus on enhancing the safety and efficiency of underground operations. His most notable contribution is the development of a pioneering sEMG-based gesture recognition method for coal mine inspection manipulators, detailed in his highly cited 2023 paper (17 citations). This work addresses a critical need in remote-operated rescue robotics by enabling operators to convey emergency commands through forearm surface electromyography (sEMG) signals. Ma designed a wireless six-channel sEMG acquisition device and implemented a multistream convolutional neural network (CNN) to accurately interpret these signals, significantly improving response times in hazardous environments. His research bridges biomedical signal processing with industrial robotics, offering a robust solution for hands-free control in confined or dangerous spaces. By advancing human-robot collaboration in mining, Ma’s work directly contributes to safer, more responsive rescue operations, marking him as an innovator in applied intelligent systems for extreme conditions.
Research Focus
Key Achievements
Top Papers
- 1