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Reconstructing Hand Poses Using Visible Light

Authors:

Xing-Dong Yang,

Xia ZhouAuthors Info & Claims

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Volume 1, Issue 3

Article No.: 71, Pages 1 - 20

https://doi.org/10.1145/3130937

Published: 11 September 2017 Publication History

Abstract

Free-hand gestural input is essential for emerging user interactions. We present Aili, a table lamp reconstructing a 3D hand skeleton in real time, requiring neither cameras nor on-body sensing devices. Aili consists of an LED panel in a lampshade and a few low-cost photodiodes embedded in the lamp base. To reconstruct a hand skeleton, Aili combines 2D binary blockage maps from vantage points of different photodiodes, which describe whether a hand blocks light rays from individual LEDs to all photodiodes. Empowering a table lamp with sensing capability, Aili can be seamlessly integrated into the existing environment. Relying on such low-level cues, Aili entails lightweight computation and is inherently privacy-preserving. We build and evaluate an Aili prototype. Results show that Aili’s algorithm reconstructs a hand pose within 7.2 ms on average, with 10.2° mean angular deviation and 2.5-mm mean translation deviation in comparison to Leap Motion. We also conduct user studies to examine the privacy issues of Leap Motion and solicit feedback on Aili’s privacy protection. We conclude by demonstrating various interaction applications Aili enables.

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Cited By

Liao ZLuo ZHuang QZhang LWu FZhang QChen G(2024)Gesture Recognition Using Visible Light on Mobile DevicesIEEE/ACM Transactions on Networking10.1109/TNET.2024.336999632:4(2920-2935)Online publication date: Aug-2024
https://doi.org/10.1109/TNET.2024.3369996
Kyung-Chan AJun-Ying LChu-Feng YTimothy NVarku SQinjie WKajal PMathews NBasu AKim T(2024)A Dynamic Gesture Recognition Algorithm Using Single Halide Perovskite Photovoltaic Cell for Human-Machine Interaction2024 International Conference on Electronics, Information, and Communication (ICEIC)10.1109/ICEIC61013.2024.10457182(1-4)Online publication date: 28-Jan-2024
https://doi.org/10.1109/ICEIC61013.2024.10457182
Sluÿters ALambot SVanderdonckt JVillarreal-Narvaez S(2024)Analysis of User-Defined Radar-Based Hand Gestures Sensed Through Multiple MaterialsIEEE Access10.1109/ACCESS.2024.336666712(27895-27917)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3366667
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Index Terms

Reconstructing Hand Poses Using Visible Light
1. Human-centered computing

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cover image Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Volume 1, Issue 3

September 2017

2023 pages

EISSN:2474-9567

DOI:10.1145/3139486

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Published: 11 September 2017

Published in IMWUT Volume 1, Issue 3

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Cited By

Liao ZLuo ZHuang QZhang LWu FZhang QChen G(2024)Gesture Recognition Using Visible Light on Mobile DevicesIEEE/ACM Transactions on Networking10.1109/TNET.2024.336999632:4(2920-2935)Online publication date: Aug-2024
https://doi.org/10.1109/TNET.2024.3369996
Kyung-Chan AJun-Ying LChu-Feng YTimothy NVarku SQinjie WKajal PMathews NBasu AKim T(2024)A Dynamic Gesture Recognition Algorithm Using Single Halide Perovskite Photovoltaic Cell for Human-Machine Interaction2024 International Conference on Electronics, Information, and Communication (ICEIC)10.1109/ICEIC61013.2024.10457182(1-4)Online publication date: 28-Jan-2024
https://doi.org/10.1109/ICEIC61013.2024.10457182
Sluÿters ALambot SVanderdonckt JVillarreal-Narvaez S(2024)Analysis of User-Defined Radar-Based Hand Gestures Sensed Through Multiple MaterialsIEEE Access10.1109/ACCESS.2024.336666712(27895-27917)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3366667
Chioccarello SSluÿters ATestolin AVanderdonckt JLambot S(2023)FORTE: Few Samples for Recognizing Hand Gestures with a Smartphone-attached RadarProceedings of the ACM on Human-Computer Interaction10.1145/35932317:EICS(1-25)Online publication date: 19-Jun-2023
https://dl.acm.org/doi/10.1145/3593231
Sluÿters ALambot SVanderdonckt JVatavu R(2023)RadarSense: Accurate Recognition of Mid-air Hand Gestures with Radar Sensing and Few Training ExamplesACM Transactions on Interactive Intelligent Systems10.1145/358964513:3(1-45)Online publication date: 11-Sep-2023
https://dl.acm.org/doi/10.1145/3589645
Ma DLan GHu CHassan MHu WUpama MUddin AYoussef M(2023)Recognizing Hand Gestures Using Solar CellsIEEE Transactions on Mobile Computing10.1109/TMC.2022.314814322:7(4223-4235)Online publication date: 1-Jul-2023
https://doi.org/10.1109/TMC.2022.3148143
Zhu JLiu ZSun YYang Y(2023)SemiGest: Recognizing Hand Gestures via Visible Light Sensing with Fewer Labels2023 19th International Conference on Mobility, Sensing and Networking (MSN)10.1109/MSN60784.2023.00123(837-842)Online publication date: 14-Dec-2023
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Chang LLiao YLin CYang-Mao SChen H(2023)Mask2Hand: Learning to Predict the 3D Hand Pose and Shape from Shadow2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)10.1109/APSIPAASC58517.2023.10317159(591-598)Online publication date: 31-Oct-2023
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Liang CLi JLiu SYang FDong YSong JZhang XDing W(2023)Integrated Sensing, Lighting and Communication Based on Visible Light Communication: A ReviewDigital Signal Processing10.1016/j.dsp.2023.104340(104340)Online publication date: Dec-2023
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Sluÿters ALambot SVanderdonckt J(2022)Hand Gesture Recognition for an Off-the-Shelf Radar by Electromagnetic Modeling and InversionProceedings of the 27th International Conference on Intelligent User Interfaces10.1145/3490099.3511107(506-522)Online publication date: 22-Mar-2022
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