A multimodal dataset of fabric assessment touch gestures. The dataset consists of bilateral forearm movement and muscle activity data captured while 15 people ...
The dataset consists of bilateral forearm movement and muscle activity data captured while 15 people explored 114 different garments in total to evaluate them ...
Jul 1, 2024 · In this paper, we open up opportunities to explore the use of technology to provide such support with our FabricTouch dataset, i.e., a ...
The dataset consists of bilateral forearm movement and muscle activity data captured while 15 people explored 114 different garments in total to evaluate them ...
We capture sensory assessment of warmth, thickness, smoothness, softness, and flexibility, which tactile sensation is particularly sensitive to. [5], [7], in ...
The FabricTouch II dataset expands upon the previous FabricTouch Dataset [12] , capturing hand muscle activity and arm movement data from 12 participants as ...
A multimodal fabric assessment touch gesture dataset to slow down fast fashion. Olugbade, TA, Lin, L., Sansoni, A., Warawita, N., Gan, Y., Wei, X., Petreca, B.
Petreca, Bruna - MMU e-space - Manchester Metropolitan University
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(2024) FabricTouch: a multimodal fabric assessment touch gesture dataset to slow down fast fashion. In: ACII 2023: Affective Computing and Intelligent ...
May 8, 2024 · FabricTouch: A Multimodal Fabric Assessment Touch Gesture Dataset to Slow Down Fast Fashion. ACII 2023: 1-8. [+][–]. Coauthor network. maximize.
Dec 22, 2018 · FabricTouch: A Multimodal Fabric Assessment Touch Gesture Dataset to Slow Down Fast Fashion. Conference Paper. Sep 2023.