FabricTouch: A Multimodal Fabric Assessment Touch Gesture Dataset to Slow Down Fast Fashion
FabricTouch: A Multimodal Fabric Assessment Touch Gesture Dataset to Slow Down Fast Fashion
复制标题
DOI：
10.1109/acii59096.2023.10388086
复制
发表时间：
2023-09
期刊：
影响因子：
--
通讯作者：
Temitayo A. Olugbade;Lili Lin;A. Sansoni;Nihara Warawita;Yuanze Gan;Xijia Wei;B. Petreca;Giuseppe Boccignone;Douglas Atkinson;Youngjun Cho;S. Baurley;N. Bianchi-Berthouze
中科院分区：
文献类型：
--
作者：
Temitayo A. Olugbade;Lili Lin;A. Sansoni;Nihara Warawita;Yuanze Gan;Xijia Wei;B. Petreca;Giuseppe Boccignone;Douglas Atkinson;Youngjun Cho;S. Baurley;N. Bianchi-Berthouze
通过对织物的触摸探索来评估其性能，并进一步利用它来了解消费者的感官体验和偏好，从而实时支持他们做出谨慎的服装购买决策。在本文中，我们打开了探索使用技术来提供这种支持的机会，我们的FabricTouch数据集，即织物评估触摸手势的多模态数据集。该数据集包括15个人在114种不同的服装中捕获的双侧前臂运动和肌肉活动数据，并根据5种特性（温暖度、厚度、平滑度、柔软度和灵活性）对其进行评估。数据集进一步包括对服装的每个属性的主观评分，以及通过触摸探索服装所体验到的愉悦度评分。我们进一步报告自动检测方面的基线工作。我们的研究结果表明，有可能根据消费者的触摸行为来识别他们正在探索的织物属性类型。我们获得了5种面料性能的隐形服装的平均F1得分为0.61。结果还强调了当被评级的属性已知时，额外识别消费者对织物的主观评级的可能性，在3个评级级别中，未见对象的平均F1得分为0.97。
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.