Multimodal activity recognition based on automatic feature discovery

Girija CHETTY, Matthew White, Monica Singh, Anurag Mishra

Research output: A Conference proceeding or a Chapter in BookConference contribution

7 Citations (Scopus)

Abstract

In this article, we propose a novel multimodal data analytics scheme for human activity recognition. Traditional data analysis schemes for activity recognition using heterogeneous sensor network setups for e-Health application scenarios are usually a heuristic process, involving underlying domain knowledge. Relying on such explicit knowledge is problematic when aiming to created automatic, unsupervised monitoring and tracking of different activities, and detection of abnormal events. Experiments on a publicly available OPPORTUNITY activity recognition database from UCI machine learning repository demonstrates the potential of our approach to address next generation unsupervised automatic classification and detection approaches for remote activity recognition for novel, eHealth application scenarios, such as monitoring and tracking of elderly, disabled and those with special needs.
Original languageEnglish
Title of host publication2014 International Conference on Computing for Sustainable Global Development, INDIACom 2014
EditorsM N Hoda
Place of PublicationUSA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages632-637
Number of pages6
ISBN (Print)9789380544120
DOIs
Publication statusPublished - 2014
Event8th International Conference on Computing for Sustainable Global Development, INDIACom 2014 - New Delhi, New Delhi, India
Duration: 5 Mar 20147 Mar 2014

Publication series

Name2014 International Conference on Computing for Sustainable Global Development, INDIACom 2014

Conference

Conference8th International Conference on Computing for Sustainable Global Development, INDIACom 2014
CountryIndia
CityNew Delhi
Period5/03/147/03/14

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CHETTY, G., White, M., Singh, M., & Mishra, A. (2014). Multimodal activity recognition based on automatic feature discovery. In M. N. Hoda (Ed.), 2014 International Conference on Computing for Sustainable Global Development, INDIACom 2014 (pp. 632-637). [6828039] (2014 International Conference on Computing for Sustainable Global Development, INDIACom 2014). USA: IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/IndiaCom.2014.6828039