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

要旨

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 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.

著者
Nathan DeVrio
Human-Computer Interaction Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States
Chris Harrison
Carnegie Mellon University, Pittsburgh, Pennsylvania, United States
論文URL

https://doi.org/10.1145/3526113.3545634

会議: UIST 2022

The ACM Symposium on User Interface Software and Technology

セッション: Beyond the Desktop

6 件の発表
2022-11-01 23:30:00
2022-11-02 01:00:00