Tomo:用于手势识别的可穿戴、低成本电阻抗断层扫描

Yang Zhang, Chris Harrison
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引用次数: 229

摘要

我们介绍了Tomo,一种可穿戴的低成本系统,使用电阻抗断层扫描(EIT)来恢复用户手臂的内部阻抗几何形状。这是通过测量放置在用户皮肤上的所有8对电极之间的横截面阻抗来实现的。我们的方法足够紧凑和低功耗,我们将该技术集成到一个原型手腕和臂带中,可以实时监控和分类手势。我们进行了一项用户研究,评估了两组手势,一组侧重于粗手势,另一组侧重于拇指对手指的捏捏。在这些手势集上,我们的手腕定位分别达到97%和87%的准确率,而我们的手臂定位分别达到93%和81%。我们最终设想将这项技术集成到未来的智能手表中,让手势和直接触摸操作协同工作,以支持小屏幕上的交互式任务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tomo: Wearable, Low-Cost Electrical Impedance Tomography for Hand Gesture Recognition
We present Tomo, a wearable, low-cost system using Electrical Impedance Tomography (EIT) to recover the interior impedance geometry of a user's arm. This is achieved by measuring the cross-sectional impedances between all pairs of eight electrodes resting on a user's skin. Our approach is sufficiently compact and low-powered that we integrated the technology into a prototype wrist- and armband, which can monitor and classify gestures in real-time. We conducted a user study that evaluated two gesture sets, one focused on gross hand gestures and another using thumb-to-finger pinches. Our wrist location achieved 97% and 87% accuracies on these gesture sets respectively, while our arm location achieved 93% and 81%. We ultimately envision this technique being integrated into future smartwatches, allowing hand gestures and direct touch manipulation to work synergistically to support interactive tasks on small screens.
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