SPEED : Prédiction de cibles

We present the SPEED method to predict endpoints, based on analysis of the kinetic characteristics of the pointing gesture. Our model splits the gesture into an acceleration phase and a deceleration phase to precisely detect target. The rst phase allows us to identify a velocity peak that marks the beginning of the second phase. This phase is approached with a quadratic model to predict gesture endpoint. A pilot study shows that SPEED predicts a target more precisely than other existing methods, for 1D tasks without distractors.

J. Wonner , J. Grosjean , A. Capobianco , D. Bechmann

IHM 2011 , page 113--116 - 2011
Additionnal material

National conference with proceedings SPEED : Prédiction de cibles, IHM 2011, Nice - Sophia Antipolis, France, pages 113--116, ACM, octobre 2011 Research team : IGG

 author = {Wonner, J. and Grosjean, J. and Capobianco, A. and Bechmann, D.},
 title = {SPEED : Pr\'ediction de cibles},
 booktitle  = {IHM 2011},
 pages = {113--116},
 month = {Oct},
 year = {2011},
 publisher = {ACM},
 organization = {ACM},
 x-international-audience = {No},
 x-language = {FR},
 url = {http://icube-publis.unistra.fr/5-WGCB11}