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ABSTRACT
We describe the BodySpace system, which uses inertial sensing and pattern recognition to allow the gestural control of a music player by placing the device at different parts of the body. We demonstrate a new approach to the segmentation and recognition of gestures for this kind of application and show how simulated physical model-based techniques can shape gestural interaction.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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Ängeslevä, J. Oakley, I. Hughes, S. and O'Modhrain, S. Body Mnemonics. Mobile HCI Conference 2003, Udine, Italy. ACM, 15--22.
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CITED BY 2
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Petra Sundström , Tove Jaensson , Kristina Höök , Alina Pommeranz, Probing the potential of non-verbal group communication, Proceedings of the ACM 2009 international conference on Supporting group work, May 10-13, 2009, Sanibel Island, Florida, USA
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INDEX TERMS
Primary Classification:
H.
Information Systems
H.5
INFORMATION INTERFACES AND PRESENTATION (I.7)
H.5.2
User Interfaces (D.2.2, H.1.2, I.3.6)
Subjects:
Interaction styles (e.g., commands, menus, forms, direct manipulation)
Additional Classification:
H.
Information Systems
H.5
INFORMATION INTERFACES AND PRESENTATION (I.7)
H.5.2
User Interfaces (D.2.2, H.1.2, I.3.6)
Subjects:
Haptic I/O;
Input devices and strategies (e.g., mouse, touchscreen)
General Terms:
Design
Keywords:
accelerometer,
gesture recognition,
interaction design,
music player,
pattern recognition
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