ABSTRACT
Can natural interaction requirements be fulfilled while still harnessing the "supernatural" fantasy of Virtual Reality (VR)? In this work we used off the shelf Electromyogram (EMG) sensors as an input device which can afford natural gestures to preform the "supernatural" task of growing your arm in VR. We recorded 18 participants preforming a simple retrieval task in two phases; an initial and a learning phase where the stretch arm was disabled and enabled respectively. The results show that the gestures used in the initial phase are different than the main gestures used to retrieve an object in our system and that the times taken to complete the learning phase are highly variable across participants.
- Konstantina Kilteni, Jean-Marie Normand, Maria V Sanchez-Vives, and Mel Slater. 2012. Extending body space in immersive virtual reality: a very long arm illusion. PloS one 7, 7 (2012), e40867.Google ScholarCross Ref
- Meredith Ringel Morris, Jacob O Wobbrock, and Andrew D Wilson. 2010. Understanding users' preferences for surface gestures. In Proceedings of graphics interface 2010. Canadian Information Processing Society, 261--268. Google ScholarDigital Library
- Vladimir I Pavlovic, Rajeev Sharma, and Thomas S Huang. 1997. Visual interpretation of hand gestures for human-computer interaction: A review. IEEE Transactions on Pattern Analysis & Machine Intelligence 7 (1997), 677--695. Google ScholarDigital Library
- Mamun Bin Ibne Reaz, MS Hussain, and Faisal Mohd-Yasin. 2006. Techniques of EMG signal analysis: detection, processing, classification and applications. Biological procedures online 8, 1 (2006), 11.Google Scholar
- T Scott Saponas, Desney S Tan, Dan Morris, Ravin Balakrishnan, Jim Turner, and James A Landay. 2009. Enabling always-available input with muscle-computer interfaces. In Proceedings of the 22nd annual ACM symposium on User interface software and technology. ACM, 167--176. Google ScholarDigital Library
- David J Sturman and David Zeltzer. 1994. A survey of glove-based input. IEEE Computer graphics and Applications 1 (1994), 30--39. Google ScholarDigital Library
- Ivan E Sutherland. 1965. The ultimate display. Multimedia: From Wagner to virtual reality (1965), 506--508.Google Scholar
- Alessandro Valli. 2008. The design of natural interaction. Multimedia Tools and Applications 38, 3 (2008), 295--305. Google ScholarDigital Library
- Jacob O Wobbrock, Meredith Ringel Morris, and Andrew D Wilson. 2009. User-defined gestures for surface computing. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, 1083--1092. Google ScholarDigital Library
Index Terms
- Investigation into Natural Gestures Using EMG for "SuperNatural" Interaction in VR
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