Co-Adaptive Brain-Machine Interface Prototype for Continuous Movement Control


The invention is a model to visulize the relationship between students and questions. Through the student-interaction-question network, it provides an innovative way to reflect the implicit relations of questions.

  • Co-Adaptive Brain-Machine Interface Prototype for Continuous Movement Control
Commercialisation opportunities
Technology licensing agreement / Industry collaboration
Problem addressed

Co-adaptive Brain-Machine Interface for continuous movement control enabled by state transition and reinforcement learning.

  • A continuous movement control approach combined with the reinforcement learning technique to accurately translate subjects’ movement intention from their brain signals.
  • A state transition function is utilized to enable the continuous movement control.
  • A non-linear reinforcement learning model is used to adaptively establish the neural-action mapping during usage, which enables the model to adaptively follow the ever-changing brain signals of the subject.
Key impact
  • Enable better performance on the continuous brain control task and maintain stable performance over days
  • More successful trials
  • Smaller response time
  • Smaller inter-trial time
  • NeuroRobotic control – reaching and grasping, walking and kicking
  • Human Computer Interface- cursor/ Joystick moving and clicking
  • VR, AR – telecommunication, teleoperation
  • Aging city – elderly home care and design
The Hong Kong University of Science and Technology (HKUST)

The Hong Kong University of Science and Technology (HKUST) ( is a world-class research intensive university that focuses on science, technology and business as well as humanities and social science. HKUST offers an international campus, and a holistic and interdisciplinary pedagogy to nurture well-rounded graduates with global vision, a strong entrepreneurial spirit and innovative thinking. Over 80% of our research work were rated “Internationally excellent” or “world leading” in the Research Assessment Exercise 2020 of Hong Kong’s University Grants Committee. We were ranked 3rd in Times Higher Education’s Young University Rankings 2022, and our graduates were ranked 23rd worldwide and among the best from universities from Asia in Global University Employability Survey 2021.