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Towards NIRS-based hand movement recognition.

Marco Paleari, Riccardo Luciani, Paolo Ariano

    IEEE ... International Conference on Rehabilitation Robotics : [Proceedings]
    |August 18, 2017
    PubMed
    Summary

    Near InfraRed Spectroscopy (NIRS) shows promise for hand movement recognition, complementing surface ElectroMyoGraphy (sEMG). This multimodal approach offers new insights into muscle activity for diverse applications.

    Area of Science:

    • Biomedical Engineering
    • Neuroscience
    • Human-Computer Interaction

    Background:

    • Hand movement recognition is crucial for gaming, social, and medical applications.
    • Existing methods like physical contact and vision techniques have limitations.
    • Surface ElectroMyoGraphy (sEMG) is increasingly used but struggles with nuanced hand movements.

    Purpose of the Study:

    • To investigate Near InfraRed Spectroscopy (NIRS) as a complementary technique for hand movement recognition.
    • To explore the potential of NIRS in capturing muscle activity at different depths.
    • To evaluate multimodal approaches combining NIRS and sEMG for improved recognition performance.

    Main Methods:

    • Utilized Near InfraRed Spectroscopy (NIRS) to capture muscle optical properties during hand movements.

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  • Employed surface ElectroMyoGraphy (sEMG) to record electrical muscle activity.
  • Developed and compared three distinct multimodal recognition strategies integrating NIRS and sEMG data.

    • Main Results:

    • NIRS demonstrated capability in recognizing a selection of hand movements.
    • NIRS provided insights into muscle activity at varying depths.
    • Preliminary results indicate the effectiveness of multimodal approaches in enhancing hand movement recognition.

    Conclusions:

    • NIRS offers a valuable supplementary perspective for hand movement analysis.
    • Multimodal systems integrating NIRS and sEMG show potential for robust hand movement recognition.
    • Further research is warranted to fully explore the capabilities of NIRS in this domain.