A dynamic time warping approach to real-time activity recognition for food preparation

Cuong Pham, Thomas Plötz, Patrick Olivier

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    22 Citations (Scopus)


    We present a dynamic time warping based activity recognition system for the analysis of low-level food preparation activities. Accelerometers embedded into kitchen utensils provide continuous sensor data streams while people are using them for cooking. The recognition framework analyzes frames of contiguous sensor readings in real-time with low latency. It thereby adapts to the idiosyncrasies of utensil use by automatically maintaining a template database. We demonstrate the effectiveness of the classification approach by a number of real-world practical experiments on a publically available dataset. The adaptive system shows superior performance compared to a static recognizer. Furthermore, we demonstrate the generalization capabilities of the system by gradually reducing the amount of training samples. The system achieves excellent classification results even if only a small number of training samples is available, which is especially relevant for real-world scenarios.

    Original languageEnglish
    Title of host publicationAmbient Intelligence - First International Joint Conference, AmI 2010, Proceedings
    Number of pages10
    Publication statusPublished - 3 Dec 2010
    Event1st International Joint Conference on Ambient Intelligence, AmI 2010 - Malaga, Spain
    Duration: 10 Nov 201012 Nov 2010

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume6439 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349


    Conference1st International Joint Conference on Ambient Intelligence, AmI 2010

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