• T2GR2: Textile touch gesture recognition with graph representation of EMG

Yu, Chuang, Liu, Yifu, Petreca, Bruna, Baurley, Sharon and Berthouze, Nadia, 2024, Book Section, T2GR2: Textile touch gesture recognition with graph representation of EMG 2023 11th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW). IEEE, pp. 1-5. ISBN 979-8-3503-2745-8

Abstract or Description:

The fashion industry’s negative impact and overconsumption require urgent action to improve and reduce fashion consumption. Tactile gesture plays a vital role in understanding, selecting, and feeling attached to clothes. In this paper, we introduce the FabricTouch II dataset with multimodal infromation, which focuses on fabric assessment touch gestures and aims to support sustainable fashion consumption. By integrating gesture labels, we enhance the dataset’s comprehensiveness, improve recognition accuracy, and provide valuable information for consumers and intelligent systems, such as conversational agents in shop or home wardrobe. Additionally, this study has made preliminary explorations on recognizing fabric touch gestures using time-spectral representations of EMG combined with graph representations on this small batch dataset. The experiment found that the graph representation of EMG outperforms the regular neural network and that the representation capacity of bilateral EMG data is superior to that of unilateral data.

Official URL: https://ieeexplore.ieee.org/document/10388087
Subjects: Other > Mathematical and Computer Sciences > G400 Computer Science > G440 Human-computer Interaction
Creative Arts and Design > W200 Design studies
School or Centre: Research Centres > Materials Science Research Centre
Funders: UKRI National Interdisciplinary Circular Economy Research programme (Grant EP/V011766/1: Textiles Circularity Centre), Consumer Experience Digital Tools for Dematerialisation for the Circular Economy project (Grant EP/V042289/1
Identification Number or DOI: https://doi.org/10.1109/ACIIW59127.2023.10388087
Date Deposited: 05 Feb 2024 14:11
Last Modified: 05 Feb 2024 14:11
URI: https://researchonline.rca.ac.uk/id/eprint/5711
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