demonstration

Semi complex navigation with an active optical gesture sensor

Authors:

Krzysztof Czuszynski,

Jacek Ruminski,

Adam Bujnowski,

Jerzy WtorekAuthors Info & Claims

UbiComp '16: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct

Pages 269 - 272

https://doi.org/10.1145/2968219.2971375

Published: 12 September 2016 Publication History

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Abstract

This paper presents the methods of diversified touchless interactions between a user and a mobile platform utilizing the optical gesture sensor. The sensor uses 8 photodiodes to measure the reflected light in the active mode (using embedded LEDs) or it measures shadows caused by fingers in the passive mode. Several algorithms were implemented: automatic mode switching, adaptive illumination level compensation, resolution improvements using model to data fitting, etc. The embedded processor delivers recognized static or dynamic gesture codes, location of fingers, etc. Thanks to the sparse construction of the sensor and number of the detectors, it handles a few discrete but also continuous gestures. The most important features of the sensor are: low power and computational requirements in comparison to vision based gesture recognition systems and that it is a septic safe interface. It was embedded into smart glasses platform.

References

[1]

A. Bujnowski, K. Czuszynski, J. Ruminski, J. Wtorek, R. McCall, A. Popleteev, N. Louveton, T. Engel. 2015. Comparison of active proximity radars for the wearable devices. In Proceedings of the 8th International Conference on Human System Interactions (HSI '15), 158--165.

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[2]

K. Czuszynski, J. Ruminski, J. Wtorek, A. Vogl, M. Hallen 2015. Interactions using passive optical proximity detector. In Proceedings of the 8th International Conference on Human System Interactions (HSI '15), 180--186.

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K. Czuszynski, J. Ruminski, A. Polinski, A. Bujnowski. 2016. Estimation of the amplitude of the signal for the active optical gesture sensor with sparse detectors. In Proceedings of the 9th International Conference on Human System Interactions (HSI '16), 481--487.

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K. Czuszynski, J. Ruminski, A. Bujnowski, J. Wtorek. 2016. UbiComp Demonstration. Video. (22 July 2016.). Retrieved July 22, 2016 from http://www.e-glasses.net/presentations/eGlasses_UC2016.mp4

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Cited By

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Sun ZWang SLiu CMa X(2022)Metaphoraction: Support Gesture-based Interaction Design with Metaphorical MeaningsACM Transactions on Computer-Human Interaction10.1145/351189229:5(1-33)Online publication date: 20-Oct-2022
https://dl.acm.org/doi/10.1145/3511892
Czuszynski KRuminski JKwasniewska A(2018)Gesture Recognition With the Linear Optical Sensor and Recurrent Neural NetworksIEEE Sensors Journal10.1109/JSEN.2018.283496818:13(5429-5438)Online publication date: 1-Jul-2018
https://doi.org/10.1109/JSEN.2018.2834968
Czuszynski KRuminski J(2018)Towards Contactless, Hand Gestures-Based Control of DevicesIECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society10.1109/IECON.2018.8591446(3298-3303)Online publication date: Oct-2018
https://doi.org/10.1109/IECON.2018.8591446
Show More Cited By

Index Terms

Semi complex navigation with an active optical gesture sensor
1. Human-centered computing
  1. Human computer interaction (HCI)

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Information

Published In

UbiComp '16: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct

September 2016

1807 pages

ISBN:9781450344623

DOI:10.1145/2968219

General Chairs:
Paul Lukowicz
DFKI and University of Kaiserslautern
,
Antonio Krüger
DFKI and Saarland University
,
Program Chairs:
Andreas Bulling
Max Planck Institute for Informatics
,
Youn-Kyung Lim
KAIST
,
Shwetak N. Patel
University of Washington

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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 September 2016

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Demonstration

Conference

UbiComp '16

Sponsor:

UbiComp '16: The 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing

September 12 - 16, 2016

Germany, Heidelberg

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Overall Acceptance Rate 764 of 2,912 submissions, 26%

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Cited By

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Sun ZWang SLiu CMa X(2022)Metaphoraction: Support Gesture-based Interaction Design with Metaphorical MeaningsACM Transactions on Computer-Human Interaction10.1145/351189229:5(1-33)Online publication date: 20-Oct-2022
https://dl.acm.org/doi/10.1145/3511892
Czuszynski KRuminski JKwasniewska A(2018)Gesture Recognition With the Linear Optical Sensor and Recurrent Neural NetworksIEEE Sensors Journal10.1109/JSEN.2018.283496818:13(5429-5438)Online publication date: 1-Jul-2018
https://doi.org/10.1109/JSEN.2018.2834968
Czuszynski KRuminski J(2018)Towards Contactless, Hand Gestures-Based Control of DevicesIECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society10.1109/IECON.2018.8591446(3298-3303)Online publication date: Oct-2018
https://doi.org/10.1109/IECON.2018.8591446
Czuszynski KRuminski JWtorek J(2017)Pose classification in the gesture recognition using the linear optical sensor2017 10th International Conference on Human System Interactions (HSI)10.1109/HSI.2017.8004989(18-24)Online publication date: Jul-2017
https://doi.org/10.1109/HSI.2017.8004989

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Finger identification and hand gesture recognition techniques for natural user interface

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