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ZotWeb	article-journal
Src Url	Caramiaux, Montecchio, Tanaka, Bevilacqua (2015)

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Citer:(Caramiaux et al., 2015)

FTag: Caramiaux-et-al-2015

APA7: Caramiaux, B., Montecchio, N., Tanaka, A., & Bevilacqua, F. (2015). Adaptive Gesture Recognition with Variation Estimation for Interactive Systems. ACM Transactions on Interactive Intelligent Systems, 4(4), 1–34. https://doi.org/10.1145/2643204

Polar -

This paper presents a gesture recognition/adaptation system for Human Computer Interaction

These systems are fundamentally not designed to take into account variations that occur during the movement performanc

4.1. Continuous state model

4.2. State space model

Fig. 3 . Gesture vocabulary from [Wobbrock et al. 2007].

Fig. 11 . Gesture variations allowed in the application: variations in size, speed and tilt. Each variation is used to control the sound feedback parameter: loudness, playback speed and filter

r gesture recognition that can adapt and estimate in real-time variations occurring during gesture executio

ability of our method to track changes in phase, scaling and rotation

[...] important feature [...] causal inference [...] represents a clear advantage for interactive applications [...] partial results are available during the gestures [...] anticipate which gesture is currently performed by early recognition.

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