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Authors: Ricardo A. Feitosa ; Jallysson M. Rocha ; Clodoaldo A. M. Lima and Sarajane M. Peres

Affiliation: Universidade de São Paulo, Brazil

Keyword(s): Gesture Phase Segmentation, Multidimensional Representation, Multilayer Perceptron.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Computational Intelligence ; Data Manipulation ; Evolutionary Computing ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Machine Learning ; Methodologies and Methods ; Neural Networks ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Signal Processing ; Soft Computing ; Symbolic Systems ; Theory and Methods

Abstract: Gesture analysis systems have been attracting a good deal of attention because of the improvements they have made to the interaction between humans, humans and machines, and humans and their environment. In this interaction, natural gesticulation can be regarded as a part of the linguistic system underlying the communication, and the whole information system that seeks to make use of this kind of interaction for making decisions, should be able to “interpret” it. This can be carried out through strategies for gesture phase segmentation. The establishment of an efficient data representation for gestures is a critical issue when undertaking this task. The chosen representation, as well as the way it is combined with analytical techniques, may or may not support the solution that is found. In this study, different forms of representation for gestures are applied to a Multilayer Perceptron to create a suitable environment for detecting the more discriminative representations. Th e results obtained in this study showed that spatial and temporal characteristics must be combined to build discriminatory gesture representation, for the context of gesture phase segmentation. (More)

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Paper citation in several formats:
A. Feitosa, R.; M. Rocha, J.; A. M. Lima, C. and M. Peres, S. (2018). Multidimensional Representations for the Gesture Phase Segmentation Problem - An Exploratory Study using Multilayer Perceptrons. In Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART; ISBN 978-989-758-275-2; ISSN 2184-433X, SciTePress, pages 347-354. DOI: 10.5220/0006556003470354

@conference{icaart18,
author={Ricardo {A. Feitosa}. and Jallysson {M. Rocha}. and Clodoaldo {A. M. Lima}. and Sarajane {M. Peres}.},
title={Multidimensional Representations for the Gesture Phase Segmentation Problem - An Exploratory Study using Multilayer Perceptrons},
booktitle={Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART},
year={2018},
pages={347-354},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006556003470354},
isbn={978-989-758-275-2},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART
TI - Multidimensional Representations for the Gesture Phase Segmentation Problem - An Exploratory Study using Multilayer Perceptrons
SN - 978-989-758-275-2
IS - 2184-433X
AU - A. Feitosa, R.
AU - M. Rocha, J.
AU - A. M. Lima, C.
AU - M. Peres, S.
PY - 2018
SP - 347
EP - 354
DO - 10.5220/0006556003470354
PB - SciTePress