Embedded design consideration for the implementation of food intake monitoring system:validated using LabVIEW software

  • Authors

    • C Mahesh
    • P Kingston Stanley
    • P Vijaydaniel
    • A Saneevi Gandhi
    2018-03-19
    https://doi.org/10.14419/ijet.v7i2.8.10322
  • Piezoelectric Sensor, Wearable Device, Food Intake Monitoring, Time-Frequency Analysis, LabVIEW.

  • Abstract

    Memory loss is a common problem found among old people, the person may forget mealtime altogether due to memory loss. This paper proposes an idea for a monitoring system which will monitor the old people food intake from a remote place and generate an alarm locally. A wearable system is designed usingpiezoelectric sensor that will sense the trachea movement during food ingestion and produces an output signal with variations in the frequencies over time. Based on the detected frequency, food type is classified. Food classification algorithm is depends on Time-Frequency analysis of the piezoelectric output and the wearable design transmits the signals to PC via Bluetooth module. The received signal is processed by LabVIEW and accuracy is tested.

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  • How to Cite

    Mahesh, C., Kingston Stanley, P., Vijaydaniel, P., & Saneevi Gandhi, A. (2018). Embedded design consideration for the implementation of food intake monitoring system:validated using LabVIEW software. International Journal of Engineering & Technology, 7(2.8), 47-51. https://doi.org/10.14419/ijet.v7i2.8.10322

    Received date: 2018-03-19

    Accepted date: 2018-03-19

    Published date: 2018-03-19