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Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
}
TY - GEN
T1 - TraceMatch
T2 - a computer vision technique for user input by tracing of animated controls
AU - Clarke, Christopher
AU - Bellino, Alessio
AU - Abreu Esteves, Augusto Emanuel
AU - Velloso, Eduardo
AU - Gellersen, Hans-Werner Georg
N1 - Copyright is held by the owner/author(s)
PY - 2016/9/12
Y1 - 2016/9/12
N2 - Recent works have explored the concept of movement correlation interfaces, in which moving objects can be selected by matching the movement of the input device to that of the desired object. Previous techniques relied on a single modality (e.g. gaze or mid-air gestures) and specific hardware to issue commands. TraceMatch is a computer vision technique that enables input by movement correlation while abstracting from any particular input modality. The technique relies only on a conventional webcam to enable users to produce matching gestures with any given body parts, even whilst holding objects. We describe an implementation of the technique for acquisition of orbiting targets, evaluate algorithm performance for different target sizes and frequencies, and demonstrate use of the technique for remote control of graphical as well as physical objects with different body parts.
AB - Recent works have explored the concept of movement correlation interfaces, in which moving objects can be selected by matching the movement of the input device to that of the desired object. Previous techniques relied on a single modality (e.g. gaze or mid-air gestures) and specific hardware to issue commands. TraceMatch is a computer vision technique that enables input by movement correlation while abstracting from any particular input modality. The technique relies only on a conventional webcam to enable users to produce matching gestures with any given body parts, even whilst holding objects. We describe an implementation of the technique for acquisition of orbiting targets, evaluate algorithm performance for different target sizes and frequencies, and demonstrate use of the technique for remote control of graphical as well as physical objects with different body parts.
U2 - 10.1145/2971648.2971714
DO - 10.1145/2971648.2971714
M3 - Conference contribution/Paper
SN - 9781450344616
SP - 298
EP - 303
BT - UbiComp '16
PB - ACM
CY - New York
ER -