Using the Phone’s Light Sensor to Detect the TV Video Stream
Current smart devices (phones, tablets, etc.) have integrated light sensors to adjust the screen’s brightness to the ambient light. The light sensors have become more sensitive and are even able to read the RGB light components. In Android, this information can be accessed without special access rights for the application. An application can use the information from the light sensor to detect the ambient light variations and relay this information to a server where it can be used to determine the video information being displayed. This paper details the data flow and tests the implementation for a single video flow on multiple light sensors.
KeywordsLight sensor Video detection Android TV channel
- 1.Federal Trade Commission. Comments for November 2015 Workshop on Cross-Device Tracking (2015). https://cdt.org/files/2015/10/10.16.15-CDT-Cross-Device-Comments.pdf. Accessed 9 Oct 2015
- 3.Google Inc. Compatibility Definition. Android 6.0, 16 October (2015). http://goo.gl/eD03sq. Accessed 9 Oct 2015
- 4.Mertz, C., Koppal, S.J., Sia, S., Narasimhan, S.: A low-power structured light sensor for outdoor scene reconstruction and dominant material identification. In: 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, Providence, RI, pp. 15–22 (2012)Google Scholar
- 5.Spreitzer, R.: PIN skimming: exploiting the ambient-light sensor in mobile devices. In: Proceedings of the 4th ACM Workshop on Security and Privacy in Smartphones & Mobile Devices, SPSM 2014, Scottsdale, AZ, USA, pp. 51–62 (2014)Google Scholar
- 6.ams AG. TMG3993, Gesture, Color, ALS, and Proximity Sensor Module with mobeam, ams Datasheet (2015). http://goo.gl/j3Z4qb. Accessed 9 Oct 2015
- 7.Android Open Source Project. Sensors Overview (2016). http://developer.android.com/guide/topics/sensors/sensors_overview.html. Accessed 9 Oct 2015
- 8.Jurić, D.: Introducing Portable Imaging IO Library for C# (2015). https://github.com/dajuric/dot-imaging/. Accessed 9 Oct 2015
- 9.Couling, J.: TV Loudness: time for a new approach (2003). http://www.dolby.com/in/en/professional/broadcast/products/aes-tv-loudness-john-couling.pdf. Accessed 9 Oct 2015
- 10.FCC. USA gov. Loud Commercials (2011). https://goo.gl/l2s26r. Accessed 9 Oct 2015
- 11.Raghavender Rao, Y., Prathapani, N., Nagabhooshanam, E.: Application of normalized cross correlation to image registration. IJRET Int. J. Res. Eng. Technol. 3(5), 12–16 (2014)Google Scholar
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 2.5 International License (http://creativecommons.org/licenses/by-nc/2.5/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
The images or other third party material in this chapter are included in the chapter's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.