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FabricTouch dataset is 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).
In addition, to understand fabrics-handling actions, the dataset is being extended with repairing related actions, e.g. observing damages, threading a needle and practising repairing stitches.
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. The dataset was collected with the support of the EPSRC TCC project, EPSRC CXDT project and H2020 EnTimeMent project. For more details see:
Olugbade, Temitayo; Lin, Lili; Sansoni, Alice; Warawita, Nihara; Gan, Yuanze; Wei, Xijia; Petreca, Bruna; Boccignone, Giuseppe; Atkinson, Douglas; Cho, Youngjun; Baurley, Sharon; Berthouze, Nadia. FabricTouch: A Multimodal Fabric Assessment Touch Gesture Dataset to Slow Down Fast Fashion. Proceedings of the International Conference on Affective Computing and Intelligent Interaction. IEEE: Cambridge, MA, USA.
To access the FabricTouch dataset, please email Professor Nadia Berthouze.