Lee, C. Park, H. Kim, J. Kim, B. Kim, L. Kwon, G.H. 2024-01-12T06:54:41Z 2024-01-12T06:54:41Z 2022-03-07 2014-01 0747-668X https://pubs.kist.re.kr/handle/201004/80331 This paper presents a brain-machine interface (BMI)-based motor rehabilitation system for detecting the correct onset-time of motor intention by Microsoft Kinect™. BMI-based motor rehabilitation without time delay is a key challenge due to muscle spasticity of patient for detecting the motor intention in a real-time rehabilitation system. To circumvent the time delay problem, we employed Kinect on a BMI rehabilitation system which calibrates the onset-time of brain signal and assesses the behavioral pattern of motor activity. In this paper, we demonstrate that the onset-time calibration of brain response by the Kinect-BMI rehabilitation system can minimize time delay and estimate motor intention before the actual movement of the user. In addition, visual interaction through Kinect would increase engagement for a given task and could positively encourage motor recovery for patients. ？ 2014 IEEE. English Institute of Electrical and Electronics Engineers Inc. Motor rehabilitation based on brain machine interface and Microsoft Kinect Conference 10.1109/ICCE.2014.6775987 1 2014 IEEE International Conference on Consumer Electronics, ICCE 2014, pp.236 - 239 2014 IEEE International Conference on Consumer Electronics, ICCE 2014 236 239 US Las Vegas, NV 2014-01-10 Digest of Technical Papers - IEEE International Conference on Consumer Electronics 2-s2.0-84898679301