Activity Recognition Using Hierarchical Hidden Markov Models on a Smartphone with 3D Accelerometer

Young Seol Lee, Sung Bae Cho

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

2 Citations (Scopus)

Abstract

As smartphone users have been increased, studies using mobile sensors on smartphone have been investigated in recent years. Activity recognition is one of the active research topics, which can be used for providing users the adaptive services with mobile devices. In this paper, an activity recognition system on a smartphone is proposed where the uncertain time-series acceleration signal is analyzed by using hierarchical hidden Markov models. In order to address the limitations on the memory storage and computational power of the mobile devices, the recognition models are designed hierarchy as actions and activities. We implemented the real-time activity recognition application on a smartphone with the Google android platform, and conducted experiments as well. Experimental results showed the feasibility of the proposed method.

Original languageEnglish
Title of host publicationHybrid Artificial Intelligent Systems - 6th International Conference, HAIS 2011, Proceedings
EditorsMarek Kurzynski, Michal Wozniak, Emilio Corchado
PublisherSpringer Verlag
Pages460-467
Number of pages8
ISBN (Print)9783642212185
DOIs
Publication statusPublished - 2011 Jan 1
Event6th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2011 - Wroclaw, Poland
Duration: 2011 May 232011 May 25

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6678 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other6th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2011
CountryPoland
CityWroclaw
Period11/5/2311/5/25

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Lee, Y. S., & Cho, S. B. (2011). Activity Recognition Using Hierarchical Hidden Markov Models on a Smartphone with 3D Accelerometer. In M. Kurzynski, M. Wozniak, & E. Corchado (Eds.), Hybrid Artificial Intelligent Systems - 6th International Conference, HAIS 2011, Proceedings (pp. 460-467). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6678 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-642-21219-2_58