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Authors: Héctor F. Satizábal ; Julien Rebetez and Andres Perez-Uribe

Affiliation: University of Applied Sciences (HES-SO), Switzerland

Keyword(s): Time Series Clustering, Template Discovery, Dynamic Time Warping, Activity Recognition.

Related Ontology Subjects/Areas/Topics: Applications ; Clustering ; Computer Vision, Visualization and Computer Graphics ; Human-Computer Interaction ; Learning of Action Patterns ; Methodologies and Methods ; Motion and Tracking ; Motion, Tracking and Stereo Vision ; Pattern Recognition ; Physiological Computing Systems ; Software Engineering ; Theory and Methods

Abstract: In human activity recognition, gesture spotting can be achieved by comparing the data from on-body sensors with a set of known gesture templates. This work presents a semi-supervised approach to template discovery in which the Dynamic Time Warping distance measure has been embedded in a classic clustering technique. Clustering is used to find a set of template candidates in an unsupervised manner, which are then evaluated by means of a supervised assessment of their classification performance. A cross-validation test over a benchmark dataset showed that our approach yields good results with the advantage of using a single sensor.

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Paper citation in several formats:
F. Satizábal, H.; Rebetez, J. and Perez-Uribe, A. (2013). Semi-supervised Discovery of Time-series Templates for Gesture Spotting in Activity Recognition. In Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - ICPRAM; ISBN 978-989-8565-41-9; ISSN 2184-4313, SciTePress, pages 573-576. DOI: 10.5220/0004268805730576

@conference{icpram13,
author={Héctor {F. Satizábal}. and Julien Rebetez. and Andres Perez{-}Uribe.},
title={Semi-supervised Discovery of Time-series Templates for Gesture Spotting in Activity Recognition},
booktitle={Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - ICPRAM},
year={2013},
pages={573-576},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004268805730576},
isbn={978-989-8565-41-9},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - ICPRAM
TI - Semi-supervised Discovery of Time-series Templates for Gesture Spotting in Activity Recognition
SN - 978-989-8565-41-9
IS - 2184-4313
AU - F. Satizábal, H.
AU - Rebetez, J.
AU - Perez-Uribe, A.
PY - 2013
SP - 573
EP - 576
DO - 10.5220/0004268805730576
PB - SciTePress

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