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 Link
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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