Recognition of indoors activity sounds for robot-based home monitoring in assisted living environments

Prasitthichai Naronglerdrit, Iosif Mporas

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

    1 Citation (Scopus)

    Abstract

    In this paper we present a methodology for the recognition of indoors human activities using microphone for robotic applications on the move. In detail, a number of classification algorithms were evaluated in the task of home sound classification using real indoors conditions and different realistic setups for recordings of sounds from different locations - rooms. The evaluation results showed the ability of the methodology to be used for monitoring of home activities in real conditions with the best performing algorithm being the support vector machine classifier with accuracy equal to 94.89%.

    Original languageEnglish
    Title of host publicationInteractive Collaborative Robotics - 2nd International Conference, ICR 2017, Proceedings
    EditorsAndrey Ronzhin, Roman Meshcheryakov, Gerhard Rigoll
    PublisherSpringer Nature
    Pages153-161
    Number of pages9
    ISBN (Print)9783319664705
    DOIs
    Publication statusPublished - 1 Jan 2017
    Event2nd International Conference on Interactive Collaborative Robotics, ICR 2017 - Hatfield, United Kingdom
    Duration: 12 Sept 201716 Sept 2017

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume10459 LNAI
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference2nd International Conference on Interactive Collaborative Robotics, ICR 2017
    Country/TerritoryUnited Kingdom
    CityHatfield
    Period12/09/1716/09/17

    Keywords

    • Assisted living environments
    • Home robotic assistance
    • Sound recognition

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