Next Generation Artificial Intelligence: Brain-Computer Interface and Human-Computer Interaction Tra
Date: 2018-09-26

On May 29, 2018, at the invitation of Professor He Jia, head of the Department of Finance, Mr. Han Bicheng, founder of BrainCo&BrainRobotics, came to our school to deliver a lecture titled “Next Generation Artificial Intelligence: Brain-Computer Interface and Human-Computer Interaction Transformation”.

    Mr. Han Bicheng focused his studies on mechanical engineering at the Korea Advanced Institute of Science and Technology and then worked at the Medical Equipment Research Center in Seattle, the United States. Mr. Han is currently pursuing a Ph.D. in Brain Science Center at Harvard University. He has been selected into the list of important economic and technological talents such as the "Forbes 30 Under 30 Elite List" and the "35 Under 35 Innovation List" (China).

   Mr. Han first introduced the situation of brain-computer interface field in the world: Brain science research and brain-computer interface have become the next focal point, and many countries are setting up national-level brain research institutes, attempting to make breakthroughs in the field of brain-computer interface. As early as seven years ago, he started to study brain science. Currently, the BrainCo&BrainRobotics established by him has become one of the top ten brain-computer interface companies which have attracted the biggest attention from the whole world. Then he introduced his R & D team, members of which are all from top universities in the United States. Finally, Mr. Han highlighted the products currently developed by his team. Among them, Focus and Focus Family are produced for students, which can be used to detect brain signals of students in class, provide real-time analysis and teaching feedback to improve teaching efficiency. Lucy is designed for ADHD patients to train neurofeedback by means of games and smart home device controls to help alleviate ADHD symptoms and improve concentration; Robotic Prosthesis is produced for amputees to build intelligent artificial limbs and improve their quality of lives with the use of EMG recognition technology.

   In the end, students raised questions about some technical details of the brain-computer interface products displayed during the lecture. Mr. Han gave detailed answers and the lecture came to a successful end.