Users can already personalize their smartphones by “clothing” or “disguising” them inside a case of their own choice. SENSECASE enables to go beyond the simple disguise, and use that shape to enable more meaningful interactivity. In our method, a deformable case is filled with transparent and black gels and put over the camera of a smartphone. The complex light reflections can be used to recognize patterns of deformation or grasping and map them to different UI actions based on a machine learning algorithm. Using SENSECASE, we demonstrate three types of example applications including pictograph input, volume control and 3D animation.
http://ishikawa-vision.org/vision/def...
music used in the scene introducing a volume control application: MusMus, http://musmus.main.jp/
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