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CyclopsRing: Enabling Whole-Hand and Context-Aware Interactions Through a Fisheye Ring

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Published:05 November 2015Publication History

ABSTRACT

This paper presents CyclopsRing, a ring-style fisheye imaging wearable device that can be worn on hand webbings to en- able whole-hand and context-aware interactions. Observing from a central position of the hand through a fisheye perspective, CyclopsRing sees not only the operating hand, but also the environmental contexts that involve with the hand-based interactions. Since CyclopsRing is a finger-worn device, it also allows users to fully preserve skin feedback of the hands. This paper demonstrates a proof-of-concept device, reports the performance in hand-gesture recognition using random decision forest (RDF) method, and, upon the gesture recognizer, presents a set of interaction techniques including on-finger pinch-and-slide input, in-air pinch-and-motion input, palm-writing input, and their interactions with the environ- mental contexts. The experiment obtained an 84.75% recognition rate of hand gesture input from a database of seven hand gestures collected from 15 participants. To our knowledge, CyclopsRing is the first ring-wearable device that supports whole-hand and context-aware interactions.

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  1. Bailly, G., Müller, J., Rohs, M., Wigdor, D., and Kratz, S. ShoeSense: A new perspective on gestural interaction and wearable applications. In Proc. ACM CHI '12 (2012), 1239--1248. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Bay, H., Tuytelaars, T., and Van Gool, L. Surf: Speeded up robust features. In Computer Vision ECCV 2006, vol. 3951 of Lecture Notes in Computer Science. 2006, 404--417. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Chan, L., Hsieh, C.-H., Chen, Y.-L., Yang, S., Huang, D.-Y., Liang, R.-H., and Chen, B.-Y. Cyclops: Wearable and single-piece full-body gesture input devices. In Proc. ACM CHI '15 (2015), 3001--3009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Chan, L., Liang, R.-H., Tsai, M.-C., Cheng, K.-Y., Su, C.-H., Chen, M. Y., Cheng, W.-H., and Chen, B.-Y. FingerPad: Private and subtle interaction using fingertips. In Proc. ACM UIST '13 (2013), 255--260. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Chen, K.-Y., Lyons, K., White, S., and Patel, S. uTrack: 3D input using two magnetic sensors. In Proc. ACM UIST '13 (2013), 237--244. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Colaco, A., Kirmani, A., Yang, H. S., Gong, N.-W., Schmandt, C., and Goyal, V. K. Mime: Compact, low power 3D gesture sensing for interaction with head mounted displays. In Proc. ACM UIST '13 (2013), 227--236. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Criminisi, A., and Shotton, J. Decision Forests for Computer Vision and Medical Image Analysis. Springer, 2013. Google ScholarGoogle ScholarCross RefCross Ref
  8. Dementyev, A., and Paradiso, J. A. WristFlex: Low-power gesture input with wrist-worn pressure sensors. In Proc. ACM UIST '14 (2014), 161--166. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Fiala, M. ARTag, a fiducial marker system using digital techniques. In Proc. IEEE CVPR '05, vol. 2 (June 2005), 590--596 vol. 2. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Fukui, R., Watanabe, M., Gyota, T., Shimosaka, M., and Sato, T. Hand shape classification with a wrist contour sensor: Development of a prototype device. In Proc. UbiComp '11 (2011), 311--314. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Gustafson, S., Bierwirth, D., and Baudisch, P. Imaginary interfaces: Spatial interaction with empty hands and without visual feedback. In Proc. ACM UIST '10 (2010), 3--12. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Harrison, C., Benko, H., and Wilson, A. D. OmniTouch: Wearable multitouch interaction everywhere. In Proc. ACM UIST '11 (2011), 441--450. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Harrison, C., and Hudson, S. E. Abracadabra: Wireless, high-precision, and unpowered finger input for very small mobile devices. In Proc. ACM UIST '09 (2009), 121--124. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Harrison, C., Tan, D., and Morris, D. Skinput: Appropriating the body as an input surface. In Proc. ACM CHI '10 (2010), 453--462. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Jing, L., Cheng, Z., Zhou, Y., Wang, J., and Huang, T. Magic ring: A self-contained gesture input device on finger. In Proc. ACM MUM '13 (2013), 39:1--39:4. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Kienzle, W., and Hinckley, K. Lightring: Always-available 2D input on any surface. In Proc. ACM UIST '14 (2014), 157--160. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Kim, D., Hilliges, O., Izadi, S., Butler, A. D., Chen, J., Oikonomidis, I., and Olivier, P. Digits: Freehand 3D interactions anywhere using a wrist-worn gloveless sensor. In Proc. ACM UIST '12 (2012), 167--176. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Loclair, Christian, G. S., and Baudisch, P. Pinchwatch: A wearable device for one-handed microinteractions.Google ScholarGoogle Scholar
  19. Mistry, P., and Maes, P. SixthSense: A wearable gestural interface. In Proc. ACM SIGGRAPH Asia '09 Sketches (2009), 11:1--11:1. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Mistry, P., Maes, P., and Chang, L. WUW - wear ur world: A wearable gestural interface. In Proc. ACM CHI EA '09 (2009), 4111--4116. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. Mujibiya, A., Cao, X., Tan, D. S., Morris, D., Patel, S. N., and Rekimoto, J. The sound of touch: On-body touch and gesture sensing based on transdermal ultrasound propagation. In Proc. ACM ITS '13 (2013), 189--198. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. Nanayakkara, S., Shilkrot, R., Yeo, K. P., and Maes, P. Eyering: A finger-worn input device for seamless interactions with our surroundings. In Proc. ACM AH '13 (2013), 13--20. Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. Ogata, M., Sugiura, Y., Osawa, H., and Imai, M. iRing: Intelligent ring using infrared reflection. In Proc. ACM UIST '12 (2012), 131--136. Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. Pratorius, M., Valkov, D., Burgbacher, U., and Hinrichs, K. DigiTap: An eyes-free VR/AR symbolic input device. In Proc. ACM VRST '14 (2014), 9--18. Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. Saponas, T. S., Tan, D. S., Morris, D., Balakrishnan, R., Turner, J., and Landay, J. A. Enabling always-available input with muscle-computer interfaces. In Proc. ACM UIST '09 (2009), 167--176. Google ScholarGoogle ScholarDigital LibraryDigital Library
  26. Sato, M., Poupyrev, I., and Harrison, C. Touche;: Enhancing touch interaction on humans, screens, liquids, and everyday objects. In Proc. ACM CHI '12 (2012), 483--492. Google ScholarGoogle ScholarDigital LibraryDigital Library
  27. Shotton, J., Fitzgibbon, A., Cook, M., Sharp, T., Finocchio, M., Moore, R., Kipman, A., and Blake, A. Real-time human pose recognition in parts from single depth images. In Proc. IEEE CVPR '11 (2011), 1297--1304. Google ScholarGoogle ScholarDigital LibraryDigital Library
  28. Song, J., Sörös, G., Pece, F., Fanello, S. R., Izadi, S., Keskin, C., and Hilliges, O. In-air gestures around unmodified mobile devices. In Proc. ACM UIST '14 (2014), 319--329. Google ScholarGoogle ScholarDigital LibraryDigital Library
  29. Tamaki, E., Miyaki, T., and Rekimoto, J. Brainy hand: An ear-worn hand gesture interaction device. In Proc. ACM CHI EA '09 (2009), 4255--4260. Google ScholarGoogle ScholarDigital LibraryDigital Library
  30. Taylor, S., Keskin, C., Hilliges, O., Izadi, S., and Helmes, J. Type-hover-swipe in 96 bytes: A motion sensing mechanical keyboard. In Proc. ACM CHI '14 (2014), 1695--1704. Google ScholarGoogle ScholarDigital LibraryDigital Library
  31. Viola, P., and Jones, M. Rapid object detection using a boosted cascade of simple features. In Proc. IEEE CVPR '01 (2001), 511--518.Google ScholarGoogle ScholarCross RefCross Ref
  32. Yang, X.-D., Hasan, K., Bruce, N., and Irani, P. Surround-see: Enabling peripheral vision on smartphones during active use. In Proc. ACM UIST '13 (2013). Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. CyclopsRing: Enabling Whole-Hand and Context-Aware Interactions Through a Fisheye Ring

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    • Published in

      cover image ACM Conferences
      UIST '15: Proceedings of the 28th Annual ACM Symposium on User Interface Software & Technology
      November 2015
      686 pages
      ISBN:9781450337793
      DOI:10.1145/2807442

      Copyright © 2015 ACM

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      Publication History

      • Published: 5 November 2015

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      UIST '15 Paper Acceptance Rate70of297submissions,24%Overall Acceptance Rate842of3,967submissions,21%

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