Jinju Pei
Papers
2
Total Citations
4
H-Index
2
About
Jinju Pei is a rising researcher at the intersection of biomechanics and intelligent robotics, whose work is pioneering more natural human-machine interfaces. Her primary research areas focus on decoding human motor intent for advanced prosthetics and simplifying robotic hand control through bio-inspired mechanics. In a landmark 2024 study, Pei introduced a novel transmission system for robotic hands that mechanically implements "force synergies"—a physiological concept where muscles work in coordinated groups. This innovation dramatically simplifies the control of multifingered hands, moving away from complex, individual finger actuation toward a more humanlike, coordinated grasp. Building on this, her 2025 work tackles lower limb motion recognition, proposing a surface electromyography (EMG) decoding scheme using S-transform energy concentration. This approach enhances human-computer interaction for intelligent prostheses by enabling more accurate and responsive leg movement detection. Though early in her career, with her most cited papers already garnering attention, Pei’s contributions are laying critical groundwork for the next generation of intuitive, lifelike assistive devices. Her dual focus on both upper and lower limb applications marks her as a versatile innovator in rehabilitation engineering.
Research Focus
Key Achievements
Top Papers
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- 2