Jian Huang of Huazhong University of Science and Technology

Countries around the world are entering an aging society, and the aging trend in China is becoming increasingly severe. The incidence of stroke caused by old age is increasing year by year. In addition, China has the largest population of disabled people in the world. The number of patients with physical movement impairments caused by diseases or physical disabilities is increasing, which has brought a heavy burden to families and society.

With the advancement of technology and the emergence of new interdisciplinary fields, more and more research institutions at home and abroad are applying robotic technology to the rehabilitation of patients' motor functions, making rehabilitation assistive robots a hot topic. On the other hand, by combining artificial intelligence and robotics technology, we can achieve humorous, accurate, and personalized rehabilitation treatments and movement assistance solutions.

To achieve precise recognition of gestures of amputated limbs, a multi-class fuzzy neural inference system framework is proposed by combining the characteristics of fuzzy neural networks and the fully connected layer structure in deep learning. In response to the modeling difficulties and complex engineering implementation of model-based pneumatic lower limb exoskeleton control methods, a data-driven control framework integrating deep fuzzy neural networks is proposed. To solve the problem that mobile rehabilitation robots can only extract three-dimensional gait spatiotemporal parameters of patients based on onboard sensors, a gait analysis algorithm based on high-dimensional Takagi-Sugeno-Kang fuzzy systems is proposed.

Robot systems developed using the above artificial intelligence technologies have been subjected to medical validation.

Biography:

Prof Jian Huang,  professor and doctoral supervisor at Huazhong University of Science and Technology, he was selected as a national leader in scientific and technological innovation and supported by the Ministry of Education's "New Century Excellent Talents Support Program". He has received funding from the Outstanding Youth Fund of the Natural Science Foundation of Hubei Province. He serves as the director of the Department of Intelligent Science and Technology at the School of Artificial Intelligence and Automation, director of the Hubei Provincial Key Laboratory of Brain-Like Intelligent Systems, chairman of the IEEE CIS Wuhan Chapter, vice chairman of the Wuhan Automation Society, and executive member of the Intelligent Robotics Professional Committee of the Chinese Association for Artificial Intelligence. He has previously served as a visiting professor at Nagoya University in Japan, a visiting professor at the University of Paris XII in France, and a JSPS Invitation Fellow sponsored by the Japan Society for the Promotion of Science. He has undertaken more than 20 national and provincial important scientific research projects, including the National Key Research and Development Program, Key Projects of the National Natural Science Foundation, and Major Innovation Projects of Hubei Province. He has published over 100 SCI journal papers, including more than 50 papers in IEEE Transactions/Journals. He has obtained more than 30 national invention patents, 1 US invention patent, and 1 Japanese invention patent. Many of his achievements have been successfully transformed into practical applications. His research results have won one special prize (ranked first), three first prizes, and one gold and one silver award at the Geneva International Invention Exhibition. He serves as an editorial board member for internationally renowned journals such as IEEE Transactions on Fuzzy Systems.

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