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Development of EOG and EMG-Based Multimodal Assistive Systems

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Medical Imaging in Clinical Applications

Part of the book series: Studies in Computational Intelligence ((SCI,volume 651))

Abstract

This study discusses a human-computer interface (HCI)- based novel approach for designing a computer-aided control and communication system using electrooculogram (EOG) and electromyogram (EMG) signals for people with severe hindrance to motor activities and communication. The EOG and EMG signals were attributed to eye movements and voluntary eye blinks, respectively. The acquired signals were processed and classified in a MATLAB-based graphical user interface (GUI) to detect different eye movements. A couple of Hall-effect sensors were conditioned to be used concurrently with multidirectional eye movements or voluntary eye blinks to generate multipurpose serial commands to control the movement of a robotic vehicle (representative assistive aid) and communications support systems. The user details were registered and the system operability was monitored in the same GUI. Due to multitasking and ease of use of the proposed device, the quality of life of the incapacitated individuals can be improved with greater independence.

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Author information

Authors and Affiliations

  1. Department of Biotechnology & Medical Engineering, National Institute of Technology, Rourkela, 769008, Odisha, India

    Biswajeet Champaty & Kunal Pal

  2. School of Bioscience & Engineering, Jadavpur University, Kolkata, 700032, West Bengal, India

    D. N. Tibarewala

  3. Vesaj Patel Hospital, Rourkela, 769004, Odisha, India

    Biswajit Mohapatra

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  1. Biswajeet Champaty
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  2. D. N. Tibarewala
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  3. Biswajit Mohapatra
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  4. Kunal Pal
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Corresponding author

Correspondence to Kunal Pal .

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Editors and Affiliations

  1. Techno India College of Technology, Durgapur, West Bengal, India

    Nilanjan Dey

  2. Professional Colleges (SRMGPC), Shri Ramswaroop Memorial Group of, Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

  3. Faculty of Computers & Information, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

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Champaty, B., Tibarewala, D.N., Mohapatra, B., Pal, K. (2016). Development of EOG and EMG-Based Multimodal Assistive Systems. In: Dey, N., Bhateja, V., Hassanien, A. (eds) Medical Imaging in Clinical Applications. Studies in Computational Intelligence, vol 651. Springer, Cham. https://doi.org/10.1007/978-3-319-33793-7_13

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  • DOI: https://doi.org/10.1007/978-3-319-33793-7_13

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