NDLI: Functional near-infrared spectroscopy based brain activity classification for development of a brain-computer interface

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ICRAI 2012 [back cover]

Functional near-infrared spectroscopy based brain activity classification for development of a brain-computer interface

Content Provider	IEEE Xplore Digital Library
Author	Naseer, N. Keum-Shik Hong
Copyright Year	2012
Description	Author affiliation: Department of Cogno-Mechatronics Engineering, Pusan National University, Busan, Republic of Korea (Naseer, N.) \|\| Department of Cogno-Mechatronics Engineering & School of Mechanical Engineering, Pusan National University, Busan, Republic of Korea (Keum-Shik Hong)
Abstract	Research in brain-computer interface (BCI) has increased recently. It allows the user to communicate with a computer/external device through the process of thinking. Functional near-infrared spectroscopy (fNIRS) is a relatively new non-invasive optical imaging modality that can be used to measure cortical brain activities. The main advantages of using this technique are relatively low cost, safety, portability and wearability. In this paper we propose to apply fNIRS to measure different brain activities during thinking task and body motion task. For thinking experiment the human subjects were asked to solve simple arithmetic calculations. For the body motion task, the subjects were asked to tap finger after regular intervals of time. Continuous-wave imaging system (DYNOT: dynamic near-infrared optical tomography) was used to image each subject's prefrontal cortex during the arithmetic task and motor cortex during the finger tapping task. Our results of fNIRS signal analysis showed different patterns of hemodynamic response for the different tasks that can be used to recognize the brain tasks. Using Fisher's linear discriminant analysis we were able to distinguish clearly between the different brain activities with an average accuracy of above 80%. This idea can be used to directly control a robot through thinking process or through movement of the body using fNIRS.
Starting Page	174
Ending Page	178
File Size	830798
Page Count	5
File Format	PDF
ISBN	9781467348843
e-ISBN	9781467348867
DOI	10.1109/ICRAI.2012.6413395
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-22
Publisher Place	Pakistan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Spectroscopy Brain Accuracy Thumb Detectors FNIRS based Brain-Computer Interface Classification of Brain Activity Robots Functional Near-Infrared Spectroscopy
Content Type	Text
Resource Type	Article

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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