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Demonstration of Finger Tracking Using Capacitive Sensing with a Ring

Published: 17 March 2020 Publication History

Abstract

In this demo paper, we present a demonstrator for a ring-based finger tracking approach. The demonstrator consists of a ring-shaped interaction device, called PeriSense, utilizing capacitive sensing in order to enable finger tracking. The motion of the finger wearing the ring and the adjacent fingers is sensed by measuring the capacitive proximity between the electrodes and the human skin. To map the capacitive measurements to the finger angles, we apply a regression model based on long short-term memory (LSTM). A virtual 3D hand model renders simultaneous the predicted finger angles.

References

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Tobias Grosse-Puppendahl, Christian Holz, Gabe A. Cohn, Raphael Wimmer, Oskar Bechtold, Steve Hodges, Matthew S. Reynolds, and Joshua R. Smith. 2017. Finding Common Ground: A Survey of Capacitive Sensing in Human-Computer Interaction. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '17). ACM, New York, NY, USA, 10. https://doi.org/10.1145/3025453.3025808
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Sepp Hochreiter and Jürgen Schmidhuber. 1997. Long Short-term Memory. Neural computation 9 (12 1997), 1735--80. https://doi.org/10.1162/neco.1997.9.8.1735
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Christopher-Eyk Hrabia, Katrin Wolf, and Mathias Wilhelm. 2013. Whole Hand Modeling Using 8 Wearable Sensors: Biomechanics for Hand Pose Prediction. In Proceedings of the 4th Augmented Human International Conference (AH '13). ACM, New York, NY, USA, 21--28.
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C. K. Jha and A. L. Chakraborty. 2018. A Fiber Bragg Grating Strain Sensor-Based Glove to Accurately Measure the Bend Angle of the Finger Flexed at the Proximal Interphalangeal Joints. In 2018 IEEE SENSORS. 1--4. https://doi.org/10.1109/ICSENS.2018.8589898
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Keras. 2019. Deep Learning for humans. https://www.keras.io
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David Kim, Otmar Hilliges, Shahram Izadi, Alex D. Butler, Jiawen Chen, Iason Oikonomidis, and Patrick Olivier. 2012. Digits: Freehand 3D Interactions Anywhere Using a Wrist-Worn Gloveless Sensor. In Proceedings of the 25th Annual ACM Symposium on User Interface Software and Technology (UIST '12). ACM, New York, NY, USA, 167--176.
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Ultraleap Ltd. 2019. Leap Motion Website. https://www.leapmotion.com
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Gabyong Park, Taejin Ha, and Woontack Woo. 2014. Hand Tracking with a Near-Range Depth Camera for Virtual Object Manipulation in an Wearable Augmented Reality. In Virtual, Augmented and Mixed Reality. Designing and Developing Virtual and Augmented Environments (Lecture Notes in Computer Science), Randall Shumaker and Stephanie Lackey (Eds.). Springer International Publishing, 396--405.
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Tensorflow. 2019. Tensorflow Website. https://www.tensorflow.org
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Mathias Wilhelm, Jan-Peter Lechler, Daniel Krakowczyk, and Sahin Albayrak. 2020. Ring-based Finger Tracking Using Capacitive Sensors and Long Short-Term Memory. In 25th International Conference on Intelligent User Interfaces (IUI '20). ACM, New York, NY, USA. https://doi.org/10.1145/3377325.3377535

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    cover image ACM Conferences
    IUI '20 Companion: Companion Proceedings of the 25th International Conference on Intelligent User Interfaces
    March 2020
    153 pages
    ISBN:9781450375139
    DOI:10.1145/3379336
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    New York, NY, United States

    Publication History

    Published: 17 March 2020

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    Author Tags

    1. Finger tracking
    2. capacitive sensing
    3. ring

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    • Demonstration
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    • Refereed limited

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    Overall Acceptance Rate 746 of 2,811 submissions, 27%

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    IUI '25

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