Shift - Use Your Finger on a PDA
From Microsoft Research: http://patrickbaudisch.com/projects/shift/index.html Retrieving the stylus of a pen-based device takes time and requires a second hand. Especially for short intermittent interactions many users therefore choose to use their bare fingers. Although convenient, this increases targeting times and error rates. We argue that the main reasons are the occlusion of the target b
Learning to be a depth camera for close-range human capture and interaction
Project page: http://research.microsoft.com/en-us/projects/depth4free/default.aspx We present a machine learning technique for estimating absolute, per-pixel depth using any conventional monocular 2D camera, with minor hardware modifications. Our approach targets close-range human capture and interaction where dense 3D estimation of hands and faces is desired. We use hybrid classification-regress
Physical Telepresence
Physical Telepresence Daniel Leithinger, Sean Follmer, Alex Olwal, Hiroshi Ishii We propose a new approach to physical telepresence, based on shared workspaces with the ability to capture and remotely render the shapes of people and objects. In this paper, we describe the concept of shape transmission, and propose interaction techniques to manipulate remote physical objects and physical renderings
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The CycloStar Approach
Two Handed Multi Fingers Haptic Interface Device SPIDAR 8
