Regular biography
Sheng is a researcher and academic in the field of mechanical engineering, with a focus on robotics, prosthetics, and biomedical engineering. He has made significant contributions to the development of advanced prosthetic devices, brain-computer interfaces (BCIs), and signal processing techniques for electromyography (EMG) and near-infrared spectroscopy (NIRS). His work has been published in numerous high-impact journals and conferences, and he has also contributed to the development of several patents related to mechanical systems, image processing, and medical devices.
Scholar-generated biography
Xinjun Sheng is a researcher at Shanghai Jiao Tong University specializing in biomechatronics, biorobotics, and microelectronics packaging. His work focuses on developing advanced prosthetic systems that integrate electromyography (EMG), near-infrared spectroscopy (NIRS), and mechanomyography for improved control and feedback. He explores methods to enhance the robustness of EMG signal processing, including common spatial patterns and domain adaptation, to reduce recalibration needs. His research also addresses the challenges of signal variability due to electrode shift and muscle coordination. Additionally, he investigates hybrid brain-computer interface (BCI) systems that combine motor imagery with selective sensation for more intuitive human-machine interaction.