Social Touch Gesture Recognition Using Convolutional Neural Network
Joint Authors
Albawi, Saad
Bayat, Oguz
Al-Azawi, Saad
Ucan, Osman N.
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-10-08
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Recently, social touch gesture recognition has been considered an important topic for touch modality, which can lead to highly efficient and realistic human-robot interaction.
In this paper, a deep convolutional neural network is selected to implement a social touch recognition system for raw input samples (sensor data) only.
The touch gesture recognition is performed using a dataset previously measured with numerous subjects that perform varying social gestures.
This dataset is dubbed as the corpus of social touch, where touch was performed on a mannequin arm.
A leave-one-subject-out cross-validation method is used to evaluate system performance.
The proposed method can recognize gestures in nearly real time after acquiring a minimum number of frames (the average range of frame length was from 0.2% to 4.19% from the original frame lengths) with a classification accuracy of 63.7%.
The achieved classification accuracy is competitive in terms of the performance of existing algorithms.
Furthermore, the proposed system outperforms other classification algorithms in terms of classification ratio and touch recognition time without data preprocessing for the same dataset.
American Psychological Association (APA)
Albawi, Saad& Bayat, Oguz& Al-Azawi, Saad& Ucan, Osman N.. 2018. Social Touch Gesture Recognition Using Convolutional Neural Network. Computational Intelligence and Neuroscience،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1130823
Modern Language Association (MLA)
Albawi, Saad…[et al.]. Social Touch Gesture Recognition Using Convolutional Neural Network. Computational Intelligence and Neuroscience No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1130823
American Medical Association (AMA)
Albawi, Saad& Bayat, Oguz& Al-Azawi, Saad& Ucan, Osman N.. Social Touch Gesture Recognition Using Convolutional Neural Network. Computational Intelligence and Neuroscience. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1130823
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1130823