Stable haptic feedback generation during mid air interactions using hidden markov model based motion synthesis

Abstract

Generation of stable and realistic haptic feedback in 3 dimensional midair interaction systems has garnered significant research interests recently. But the limitations in the sensing technologies such as unstable tracking, range limitations and occlusions occurred during interactions, along with the motion recognition faults significantly distort motion based haptic feedback. In this paper, a Hidden Markov Model based motion element synthesis for stable haptic feedback generation is proposed. The subjective evaluation experimental results using the proposed model on 3 subjects during a zooming task have shown improvements in user perception of the gestures.