DiscoBand: Multiview Depth-Sensing Smartwatch Strap for Hand, Body and Environment Tracking

Nathan Devrio, Chris Harrison
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引用次数: 1

Abstract

Real-time tracking of a user’s hands, arms and environment is valuable in a wide variety of HCI applications, from context awareness to virtual reality. Rather than rely on fixed and external tracking infrastructure, the most flexible and consumer-friendly approaches are mobile, self-contained, and compatible with popular device form factors (e.g., smartwatches). In this vein, we contribute DiscoBand, a thin sensing strap not exceeding 1 cm in thickness. Sensors operating so close to the skin inherently face issues with occlusion. To help overcome this, our strap uses eight distributed depth sensors imaging the hand from different viewpoints, creating a sparse 3D point cloud. An additional eight depth sensors image outwards from the band to track the user’s body and surroundings. In addition to evaluating arm and hand pose tracking, we also describe a series of supplemental applications powered by our band’s data, including held object recognition and environment mapping.
disband:用于手部、身体和环境跟踪的多视图深度感应智能表带
实时跟踪用户的手、手臂和环境在各种HCI应用中都很有价值,从上下文感知到虚拟现实。比起依赖于固定的和外部的跟踪基础设施,最灵活和消费者友好的方法是移动的,独立的,并且兼容流行的设备形式因素(例如,智能手表)。在这方面,我们贡献了DiscoBand,一种厚度不超过1厘米的薄传感带。如此接近皮肤的传感器固有地面临着遮挡的问题。为了克服这个问题,我们的表带使用了八个分布式深度传感器,从不同的角度对手部进行成像,创建了一个稀疏的3D点云。另外八个深度传感器从手环向外成像,跟踪用户的身体和周围环境。除了评估手臂和手的姿势跟踪,我们还描述了一系列由我们的手环数据驱动的补充应用,包括持有的物体识别和环境映射。
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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