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Optics Express

Optics Express

  • Editor: Andrew M. Weiner
  • Vol. 21, Iss. 8 — Apr. 22, 2013
  • pp: 9206–9214

A motion gesture sensor using photodiodes with limited field-of-view

Yong Sin Kim and Kwang-Hyun Baek  »View Author Affiliations

Optics Express, Vol. 21, Issue 8, pp. 9206-9214 (2013)

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This paper presents a low-power and small-size motion gesture sensor (MGS) based on an active infrared (IR) proximity sensor. While conventional proximity-based MGSs require two LEDs (the most power-hungry components) and one photodiode, the proposed MGS eliminates one of LEDs at the expense of an additional photodiode as a separate channel. In conjunction with an optical block that limits the field-of-view of each photodiode, the power consumption and area of the proposed MGS can be reduced by up to 52% and 69%, respectively, compared with conventional proximity-based MGSs. Optical simulation and test results validate theoretical analysis presented.

© 2013 OSA

OCIS Codes
(040.5160) Detectors : Photodetectors
(130.0250) Integrated optics : Optoelectronics
(130.3120) Integrated optics : Integrated optics devices
(130.6010) Integrated optics : Sensors
(230.5170) Optical devices : Photodiodes

ToC Category:

Original Manuscript: January 11, 2013
Revised Manuscript: March 4, 2013
Manuscript Accepted: April 1, 2013
Published: April 8, 2013

Yong Sin Kim and Kwang-Hyun Baek, "A motion gesture sensor using photodiodes with limited field-of-view," Opt. Express 21, 9206-9214 (2013)

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  1. S. Mitra and T. Acharya, “Gesture recognition: a survey,” IEEE Trans. Syst. Man Cybern. C37(3), 311–324 (2007). [CrossRef]
  2. J. O. Wobbrock, A. D. Wilson, and Y. Li, “Gestures without libraries, toolkits or training: a $1 recognizer for user interface prototypes,” in Proceedings of ACM Symposium on User Interface Software and Technology (ACM, New York, 2007), pp. 159–168. [CrossRef]
  3. H. Lee and J. Park, “Touch play pool: touch gesture interaction for mobile multifunction devices,” in Proceedings of IEEE Conference on Consumer Electronics (Institute of Electrical and Electronics Engineers, 2012), pp. 291–292.
  4. I. Yang and O. Kwon, “A touch controller using differential sensing method for on-cell capacitive touch screen panel systems,” IEEE Trans. Consum. Electron.57(3), 1027–1032 (2011). [CrossRef]
  5. J.-H. Kim, N. D. Thang, and T.-S. Kim, “3-D hand motion tracking and gesture recognition using a data glove,” in Proceedings of IEEE International Symposium on Industrial Electronics (Institute of Electrical and Electronics Engineers, 2009), pp. 1013–1018. [CrossRef]
  6. Y. Han, “A low-cost visual motion data glove as an input device to interpret human hand gestures,” IEEE Trans. Consum. Electron.56(2), 501–509 (2010). [CrossRef]
  7. J. Kela, P. Korpipää, J. Mäntyjärvi, S. Kallio, G. Savino, L. Jozzo, and D. Marca, “Accelerometer-based gesture control for a design environment,” Pers. Ubiquitous Comput.10(5), 285–299 (2006). [CrossRef]
  8. E. Y. Ahn, J. H. Lee, T. Mullen, and J. Yen, “Dynamic vision sensor camera based bare hand gesture Recognition,” in Proceedings of IEEE International Symposium on Computer Intelligence for Multimedia (Institute of Electrical and Electronics Engineers, 2011), pp. 52–59. [CrossRef]
  9. T. B. Moeslund and E. Granum, “A survey of computer vision-based human motion capture,” Comput. Vis. Image Underst.81(3), 231–268 (2001). [CrossRef]
  10. H. Cheng, A. M. Chen, A. Razdan, and E. Buller, “Contactless gesture recognition system using proximity sensors,” in Proceedings of IEEE Conference on Consumer Electronics (Institute of Electrical and Electronics Engineers, 2011), pp. 149–150. [CrossRef]
  11. A. M. Chen, H. T. Cheng, A. Razdan, and E. B. Buller, “Methods and apparatus for contactless gesture recognition,” Qualcomm Inc., U.S. Patent App. 13/161,955 (2011).
  12. M. Igaki, H. Osawa, and T. Tsuchikawa, “Illumination device,” Rohm Co. LTD., U.S. Patent App. 13/187,593 (2011).
  13. T. Chang, K. P. Wu, C. J. Fang, C. T. Chan, C. T. Chuang, and F. Y. Liu, “Light sensor system for object detection and gesture recognition, and object detection method,” U.S. Patent App. 13/494,000 (2012).
  14. Silicon Labs white paper, “Infrared gesture sensing” (Silicon Laboratories Inc., 2011), http://www.silabs.com/Support%20Documents/TechnicalDocs/AN580.pdf
  15. T. Martinez, D. Wick, and S. Restaino, “Foveated, wide field-of-view imaging system using a liquid crystal spatial light modulator,” Opt. Express8(10), 555–560 (2001). [CrossRef] [PubMed]
  16. R. Winston, J. C. Miano, and P. G. Benitez, Nonimaging Optics (Academic, 2004).
  17. I. Luque-Heredia, J. Moreno, P. Magalhaes, R. Cervantes, G. Quemere, and O. Laurent, Concentrator Photovoltaics (Springer, 2007), Chap. 11.

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