Error-resilient perceptual haptic data communication based on probabilistic receiver state estimation

We present an error-resilient perceptual haptic data compression scheme based on a probabilistic receiver model. While the previously proposed perceptual deadband approach successfully addresses the challenges of high packet and data rates in haptic real-time communication, packet loss in the network leads to perceivable distortion. To address this issue, a sender-driven transmission scheme for low-latency packet loss compensation is proposed. In this scheme, packet transmissions are adaptively triggered only if the reveicer state is likely to deviate from the error-free signal by more than the applied perception thresholds. Conducted experiments validate that the proposed haptic communication scheme successful compensates for packet loss with low computational complexity and without the need of acknowledgments.