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Welcome to Our Team

LINC Lab converts the scientific fiction into a reality . We are able to accurately decipher neuron signals sensed on human muscles together with mechanical sensors to make it possible to control artificial legs using neural signals coming from patient's brain . Build a solid scientific foundation for controlling artificial legs based on patient's intention .

Recent Publications

Xiaorong Zhang, Yuhong Liu, Fan Zhang, Jin Ren, Yan Sun, Qing Yang, and Huang He, "On Design and Implementation of Neural-Machine Interface for Artificial Legs", accepted, IEEE Transactions on Industrial Informatics, 2012.

Xiaorong Zhang, He Huang, and Qing Yang, "Implementing an FPGA system for real-time intent recognition for prosthetic legs," In Proceedings of the 49th Annual Design Automation Conference (DAC '12). ACM, New York, NY, USA, 169-175.

Xiaorong Zhang, Ding Wang, Qing Yang, and He Huang, "An Automatic and User-Driven Training Method for Locomotion Mode Recognition for Artificial Leg Control", Conf Proc IEEE Eng Med Biol Soc, (2012).


Design of neural-machine interface (NMI) based on neuromuscular information to accurately and reliably decipher the user's movement intents

Implementation of neural-machine interface (NMI) on powerful embedded computer systems

Development of trust sensor interface for improving reliability of neural-machine interface (NMI)