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.
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