Olugbade, Temitayo;
Lin, Lili;
Sansoni, Alice;
Warawita, Nihara;
Gan, Yuanze;
Wei, Xijia;
Petreca, Bruna;
... Berthouze, Nadia; + view all
(2023)
FabricTouch: A Multimodal Fabric Assessment Touch Gesture Dataset to Slow Down Fast Fashion.
In:
Proceedings of the International Conference on Affective Computing and Intelligent Interaction.
IEEE: Cambridge, MA, USA.
(In press).
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Abstract
Touch exploration of fabric is used to evaluate its properties, and it could further be leveraged to understand a consumer’s sensory experience and preference so as to support them in real time to make careful clothing purchase decisions. In this paper, we open up opportunities to explore the use of technology to provide such support with our FabricTouch dataset, i.e., a multimodal dataset of fabric assessment touch gestures. The dataset consists of bilateral forearm movement and muscle activity data captured while 15 people explored 114 different garments in total to evaluate them according to 5 properties (warmth, thickness, smoothness, softness, and flexibility). The dataset further includes subjective ratings of the garments with respect to each property and ratings of pleasure experienced in exploring the garment through touch. We further report baseline work on automatic detection. Our results suggest that it is possible to recognise the type of fabric property that a consumer is exploring based on their touch behaviour. We obtained mean F1 score of 0.61 for unseen garments, for 5 types of fabric property. The results also highlight the possibility of additionally recognizing the consumer’s subjective rating of the fabric when the property being rated is known, mean F1 score of 0.97 for unseen subjects, for 3 rating levels.
| Type: | Proceedings paper |
|---|---|
| Title: | FabricTouch: A Multimodal Fabric Assessment Touch Gesture Dataset to Slow Down Fast Fashion |
| Event: | International Conference on Affective Computing and Intelligent Interaction |
| Location: | Cambridge, Massachusetts, US |
| Dates: | 10 Sep 2023 - 13 Sep 2023 |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | https://ieeexplore.ieee.org/xpl/conhome/1002992/al... |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. // This work was supported by the EU Future and Emerging Technologies Proactive H2020 programme (Grant 824160: EnTimeMent) and the UK Research and Innovation (UKRI) National Interdisciplinary Circular Economy Research programme (Grant EP/V011766/1: Textiles Circularity Centre). For the purpose of open access, the author has applied a Creative Commons Attribution (CC BY) licence to any Author Accepted Manuscript version arising. |
| Keywords: | Dataset, fabric, gesture recognition, movement, touch, muscle activity, multimodal |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences > UCL Interaction Centre |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10172204 |
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