Natural Wristband: How much we can feel

Wanna Zhang, W. Luo, Feng Wang
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Abstract

With the rapid development of mobile computing, wearable wrist-worn has become more and more popular, but the current vibrotactile feedback patterns of most wrist-worn devices are too simple to enable effective interaction in nonvisual scenarios. In this paper, we propose the Dancing wristband prototype system, which provides multiple vibration patterns for users to recognize multi-semantic information in eyes-free scenarios easily. With four vibrating motors placed in different positions in the wristband, Dancing wristband can produce five vibration patterns(positional vibration: up and down; diagonal vibration: horizontal; circular vibration (four motors vibrate four times sequentially in a ring); and total vibration (all motors vibrate simultaneously at once)). According to the lab experimental results, users can distinguish the five patterns with the rate of over 75%, which proves that these five vibration patterns can be used to output multi-semantic information. The system can be applied to eyes-free interaction scenarios for wrist-worn devices.
自然腕带:我们能感觉到多少
随着移动计算的快速发展,可穿戴式腕带越来越受欢迎,但目前大多数腕带设备的振动触觉反馈模式过于简单,无法实现非视觉场景下的有效交互。在本文中,我们提出了舞蹈腕带原型系统,该系统提供了多种振动模式,使用户在无眼场景下轻松识别多语义信息。舞蹈腕带通过四个振动电机放置在腕带的不同位置,可以产生五种振动模式(位置振动:上下;对角振动:水平;圆周振动(四个电机在一个环内依次振动四次);和总振动(所有电机同时振动))。根据实验室实验结果,用户对五种模式的识别率超过75%,证明了这五种振动模式可以用于输出多语义信息。该系统可应用于腕戴设备的无眼交互场景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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