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Walk Identification using a smart carpet and Mel-Frequency Cepstral Coefficient (MFCC) features.

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    This study introduces a novel floor-based sensor system for real-time in-home activity monitoring to support elder independence. The system accurately distinguishes individuals using Mel-Frequency Cepstral Coefficients, achieving 82% accuracy in identifying different people.

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    Area of Science:

    • Engineering
    • Computer Science
    • Gerontology

    Background:

    • Independent living for elders is a growing concern.
    • Existing activity monitoring systems can be intrusive or lack accuracy.
    • There is a need for unobtrusive, real-time monitoring solutions for elder care.

    Purpose of the Study:

    • To develop and analyze a novel floor-based sensor system for in-home activity monitoring.
    • To assess the system's ability to recognize individuals based on their gait.
    • To evaluate the effectiveness of Mel-Frequency Cepstral Coefficients (MFCC) for person identification in activity monitoring.

    Main Methods:

    • Development of a context-aware, unobtrusive floor-based sensor system.
    • In-depth analysis of sensor-generated waveform characteristics (power spectrum, pulse width, signal shape).
    • Feature extraction using Mel-Frequency Cepstral Coefficients (MFCC) for classification.
    • Evaluation using data from 10 subjects under various environmental conditions.

    Main Results:

    • The system successfully monitors activities like walking and falling.
    • Analysis of analog signal characteristics provided insights into sensor data.
    • MFCC features were effective in distinguishing between different individuals.
    • An average accuracy of 82% was achieved in person identification.

    Conclusions:

    • The developed sensor system offers a promising solution for unobtrusive elder activity monitoring.
    • Computational analysis of sensor waveforms, particularly MFCC, enables accurate person identification.
    • This technology can significantly contribute to supporting the independent living of elderly individuals.