鞋++:一种智能的可拆卸鞋底,用于社交脚对脚的互动

Zihan Yan, Jiayi Zhou, Wu Yufei, Guanhong Liu, Danli Luo, Zi Zhou, Mi Haipeng, Lingyun Sun, Xiang 'Anthony' Chen, Yang Zhang, Guanyun Wang
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引用次数: 5

摘要

脚是我们身体的基础,不仅可以进行运动,还可以参与意图和情感表达。因此,在人际交往中,脚的手势是一种直观、自然的表达方式。最近的研究主要是将智能鞋作为个人小工具,而在社交场景中多人脚互动中使用的脚手势仍未得到充分研究。我们展示了鞋++,它包括一个安装在鞋底的惯性测量单元(IMU)和一个社交脚对脚手势的输入词汇表,以支持基于脚的交互。手势词汇是由12个用户参与设计会议中产生的一组手势派生和浓缩而成的。我们在鞋++中实现了一个机器学习模型,该模型可以识别两人和三人的社交脚对脚手势,准确率分别为94.3%和96.6% (N=18)。此外,鞋底的设计可以轻松地与各种日常鞋子连接和分离,以支持舒适的社交足部互动,而无需脱下鞋子。基于用户的定性反馈,我们还发现鞋++可以支持团队协作,增强情感表达,从而使社会互动或人际动态在扩大的设计空间中更具吸引力。额外的关键和智能鞋底鞋++:一个智能的可拆卸鞋底的社会脚对脚的互动。ACM交互过程。暴徒。可穿戴无处不在的技术,6,2,(2022年6月),
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Shoes++: A Smart Detachable Sole for Social Foot-to-foot Interaction
Feet are the foundation of our bodies that not only perform locomotion but also participate in intent and emotion expression. Thus, foot gestures are an intuitive and natural form of expression for interpersonal interaction. Recent studies have mostly introduced smart shoes as personal gadgets, while foot gestures used in multi-person foot interactions in social scenarios remain largely unexplored. We present Shoes++, which includes an inertial measurement unit (IMU)-mounted sole and an input vocabulary of social foot-to-foot gestures to support foot-based interaction. The gesture vocabulary is derived and condensed by a set of gestures elicited from a participatory design session with 12 users. We implement a machine learning model in Shoes++ which can recognize two-person and three-person social foot-to-foot gestures with 94.3% and 96.6% accuracies (N=18). In addition, the sole is designed to easily attach to and detach from various daily shoes to support comfortable social foot interaction without taking off the shoes. Based on users’ qualitative feedback, we also found that Shoes++ can support team collaboration and enhance emotion expression, thus making social interactions or interpersonal dynamics more engaging in an expanded design space. Additional Key and smart sole Shoes++: A Smart Detachable Sole for Social Foot-to-foot Interaction. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6, 2, (June 2022),
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