Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/16804
Title: An Ensemble Classifier Based on Three-Way Decisions for Social Touch Gesture Recognition
Authors: Zhang, G
Liu, Q
Shi, Y
Meng, H
Keywords: touch gesture recognition;preprocessing;ensemble classifier;three-way decisions
Issue Date: 2018
Citation: Lecture Notes in Computer Science, 2018, 10942 pp. 370 - 379
Abstract: Social touch is an important form of social interaction. In Human Robot Interaction (HRI), touch can provide additional information to other modalities, such as audio, visual. One of the application is the robot therapy that has great social significance. In this paper, an ensemble classifier based on threeway decisions is proposed to recognize touch gestures. Firstly, features are extracted from on six perspectives and four classifiers are constructed on different scales with different pre-processing methods. . Then an ensemble classifier is used to combine the four classifiers to classify the gestures. The proposed method is tested on the public Corpus of Social Touch (Cost) dataset. The experiments results not only verify the validity of our method but also show the better accuracy of our ensemble classifier.
URI: http://bura.brunel.ac.uk/handle/2438/16804
DOI: http://dx.doi.org/10.1007/978-3-319-93818-9_35
ISSN: 0302-9743
http://dx.doi.org/10.1007/978-3-319-93818-9_35
Appears in Collections:Dept of Electronic and Computer Engineering Research Papers

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