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Data Miming: Inferring
Spatial Object Descriptions from Human Gesture
Speakers often use hand gestures when talking
about or describing physical objects. Such gesture is particularly
useful when the speaker is conveying distinctions of shape that are
difficult to describe verbally. We present data miming--an approach
to making sense of gestures as they are used to describe concrete
physical objects. We first observe participants as they use gestures
to describe real-world objects to another person. From these
observations, we derive the data miming approach, which is based on
a voxel representation of the space traced by the speaker's hands
over the duration of the gesture. In a final proof-of-concept study,
we demonstrate a prototype implementation of matching the input
voxel representation to select among a database of known physical
objects.
Christian Holz and Andrew Wilson. 2011. Data
miming: inferring spatial object descriptions from human gesture. In
Proceedings of the 2011 annual conference on Human factors in
computing systems (CHI '11). ACM, New York, NY, USA, 811-820.
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