“A Stretch-Sensing Soft Glove for Interactive Hand Pose Estimation” by Glauser, Wu, Panozzo, Hilliges and Sorkine-Hornung – ACM SIGGRAPH HISTORY ARCHIVES

“A Stretch-Sensing Soft Glove for Interactive Hand Pose Estimation” by Glauser, Wu, Panozzo, Hilliges and Sorkine-Hornung

  • 2019 ETech Glauser: A Stretch-Sensing Soft Glove for Interactive Hand Pose Estimation

  • 2019 ETech Glauser: A Stretch-Sensing Soft Glove for Interactive Hand Pose Estimation

Conference:


Experience Type(s):


Title:


    A Stretch-Sensing Soft Glove for Interactive Hand Pose Estimation

Organizer(s)/Presenter(s):


Description:


    We propose a stretch-sensing soft glove to interactively capture hand poses with high accuracy. A deep network exploiting the spatial sensor layout reconstructs the pose from the embedded capacitive sensors. The emerging technology visitors have the chance to try our new stretch-sensing glove in interactive demos.

References:


    [1] 2019. CyberGlove. http://www.cyberglovesystems.com/.
    [2] 2019. ManusVR glove. https://manus-vr.odoo.com/hardware.
    [3] Jean-Baptiste Chossat, Yiwei Tao, Vincent Duchaine, and Yong-Lae Park. 2015. Wearable soft artificial skin for hand motion detection with embedded microfluidic strain sensing. In Proc. ICRA. IEEE, 2568–2573.
    [4] Oliver Glauser, Daniele Panozzo, Otmar Hilliges, and Olga Sorkine-Hornung. 2019. Deformation Capture via Self-Sensing Capacitive Arrays. ACM Trans. Graph. 38, 2 (2019).
    [5] Anastasia Tkach, Andrea Tagliasacchi, Edoardo Remelli, Mark Pauly, and Andrew Fitzgibbon. 2017. Online Generative Model Personalization for Hand Tracking. ACM Trans. Graph. 36, 6 (2017).

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