Haar-like filtering for human activity recognition using 3D accelerometer

Yuya Hanai, Jun Nishimura, Tadahiro Kuroda

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    39 Citations (Scopus)

    Abstract

    In this paper, novel 2 one-dimensional (1D) Haar-like filtering techniques are proposed as a new and low calculation cost feature extraction method suitable for 3D acceleration signals based human activity recognition. Proposed filtering method is a simple difference filter with variable filter parameters. Our method holds a strong adaptability to various classification problems which no previously studied features (mean, standard deviation, etc.) possessed. In our experiment on human activity recognition, the proposed method achieved both the highest recognition accuracy of 93.91% while reducing calculation cost to 21.22% compared to previous method.

    Original languageEnglish
    Title of host publication2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, DSP/SPE 2009, Proceedings
    Pages675-678
    Number of pages4
    DOIs
    Publication statusPublished - 2009 Apr 8
    Event2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, DSP/SPE 2009 - Marco Island, FL, United States
    Duration: 2009 Jan 42009 Jan 7

    Publication series

    Name2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, DSP/SPE 2009, Proceedings

    Other

    Other2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, DSP/SPE 2009
    CountryUnited States
    CityMarco Island, FL
    Period09/1/409/1/7

    Keywords

    • 1D haar-like filtering
    • Accelerometer
    • Human activity recognition
    • Sensornet

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Signal Processing
    • Electrical and Electronic Engineering

    Fingerprint Dive into the research topics of 'Haar-like filtering for human activity recognition using 3D accelerometer'. Together they form a unique fingerprint.

  • Cite this

    Hanai, Y., Nishimura, J., & Kuroda, T. (2009). Haar-like filtering for human activity recognition using 3D accelerometer. In 2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, DSP/SPE 2009, Proceedings (pp. 675-678). [4786008] (2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, DSP/SPE 2009, Proceedings). https://doi.org/10.1109/DSP.2009.4786008