Motor rehabilitation based on brain machine interface and Microsoft Kinect
- Authors
- Lee, C.; Park, H.; Kim, J.; Kim, B.; Kim, L.; Kwon, G.H.
- Issue Date
- 2014-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Citation
- 2014 IEEE International Conference on Consumer Electronics, ICCE 2014, pp.236 - 239
- Abstract
- 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.
- ISSN
- 0747-668X
- URI
- https://pubs.kist.re.kr/handle/201004/80331
- DOI
- 10.1109/ICCE.2014.6775987
- Appears in Collections:
- KIST Conference Paper > 2014
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