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Authors: Blanca Florentino-Liaño ; Niamh O'Mahony and Antonio Artés-Rodríguez

Affiliation: Universidad Carlos III de Madrid, Spain

ISBN: 978-989-8425-89-8

Keyword(s): Activity recognition, Inertial sensors, Ambulatory monitoring.

Related Ontology Subjects/Areas/Topics: Biomedical Engineering ; Biomedical Signal Processing ; Devices ; Health Information Systems ; Human-Computer Interaction ; Monitoring and Telemetry ; Physiological Computing Systems ; Wearable Sensors and Systems

Abstract: This work deals with the task of human daily activity recognition using miniature inertial sensors. The proposed method is based on the development of a hierarchical dynamic model, incorporating both inter-activity and intra-activity dynamics, thereby exploiting the inherently dynamic nature of the problem to aid the classification task. The method uses raw acceleration and angular velocity signals, directly recorded by inertial sensors, bypassing commonly used feature extraction and selection techniques and, thus, keeping all information regarding the dynamics of the signals. Classification results show a competitive performance compared to state-of-the-art methods.

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Paper citation in several formats:
Florentino-Liaño, B.; O'Mahony, N. and Artés-Rodríguez, A. (2012). HIERARCHICAL DYNAMIC MODEL FOR HUMAN DAILY ACTIVITY RECOGNITION.In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2012) ISBN 978-989-8425-89-8, pages 61-68. DOI: 10.5220/0003781900610068

@conference{biosignals12,
author={Blanca Florentino{-}Liaño. and Niamh O'Mahony. and Antonio Artés{-}Rodríguez.},
title={HIERARCHICAL DYNAMIC MODEL FOR HUMAN DAILY ACTIVITY RECOGNITION},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2012)},
year={2012},
pages={61-68},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003781900610068},
isbn={978-989-8425-89-8},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2012)
TI - HIERARCHICAL DYNAMIC MODEL FOR HUMAN DAILY ACTIVITY RECOGNITION
SN - 978-989-8425-89-8
AU - Florentino-Liaño, B.
AU - O'Mahony, N.
AU - Artés-Rodríguez, A.
PY - 2012
SP - 61
EP - 68
DO - 10.5220/0003781900610068

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