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Response time improvement in accelerometer-based activity recognition by activity change detection

Published: 17 September 2011 Publication History

Abstract

A method has been developed to improve response time of accelerometer based activity recognition. Our method firstly detects a point of change in activity from sensor data and then applies a classifier trained with short window data immediately after the point. Results of experiments show that our method achieves a response time more than one second faster than that of a conventional method.

Reference

[1]
M. Fujimoto, N. Fujita, Y. Takegawa, T. Terada, and M. Tsukamoto. A motion recognition method for a wearable dancing musical instrument. Wearable Computers, IEEE International Symposium, pages 11--18, 2009.

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  • (2023)Performance evaluation of multivariate statistical techniques using edge-enabled optimisation for change detection in activity monitoringJournal of Cloud Computing10.1186/s13677-023-00467-x12:1Online publication date: 19-Jun-2023

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  1. Response time improvement in accelerometer-based activity recognition by activity change detection

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    cover image ACM Conferences
    UbiComp '11: Proceedings of the 13th international conference on Ubiquitous computing
    September 2011
    668 pages
    ISBN:9781450306300
    DOI:10.1145/2030112

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    New York, NY, United States

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    Published: 17 September 2011

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    Author Tags

    1. accelerometer
    2. activity recognition
    3. response time

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    • (2023)Performance evaluation of multivariate statistical techniques using edge-enabled optimisation for change detection in activity monitoringJournal of Cloud Computing10.1186/s13677-023-00467-x12:1Online publication date: 19-Jun-2023

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