Jinjing Liu
Papers
4
Total Citations
27
H-Index
3
About
Jinjing Liu is a pioneering researcher in the field of rehabilitation robotics, with a primary focus on developing intelligent control systems for powered lower limb prostheses. Her work addresses the critical challenge of emulating natural human gait across diverse terrains and walking speeds, directly impacting the quality of life for individuals with transfemoral amputations. Liu’s major contributions include the development of an adaptive and robust walking pattern for prosthetic ankle-foot systems using a nonlinear autoregressive network with exogenous inputs (NARX), which has garnered 14 citations. She has also designed a novel robotic knee prosthesis incorporating a cycloidal gear and four-bar mechanism optimized via particle swarm algorithm, achieving high torque without traditional harmonic reducers. Her research extends to gait assessment, where she employs NARX networks to estimate body segmental orientation, enabling quantitative rehabilitation monitoring. Most recently, Liu has explored human ambulation as a chaotic time-series, applying nonlinear dynamics tools to enhance prosthesis control stability. With a growing citation record and innovative approaches to mechanical design and neural control, Liu is establishing herself as a key contributor to next-generation prosthetic technology.
Research Focus
Key Achievements
Top Papers
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