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 .
2012-05-01 Developing faster computers for a faster world
2012-03-01 Helen Huang's research puts people on their feet
2011-11-01 Haibo He is developing "smart grid" technology that is revolutionizing power systems.
2011-09-09 Haibo He is the Providence Business News "Rising Star Innovator" of the year
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
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Implementation of neural-machine interface (NMI) on powerful embedded computer systems
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Development of trust sensor interface for improving reliability of neural-machine interface (NMI)
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