Error Resilience of Haptic Data in Interactive Systems

Haptic technology has been widely applied in various fields as a new type of immersive interaction method. In a haptic interaction system, data may be lost due to the fluctuation of network environment, which obviously has negative influence on user's quality of experience. Error resilience is an effective method to solve the above problem. In this paper, we first establish a real haptic interaction system as the platform of the successive experiments. Then, a new quality metric named haptic perception metric (HPM) is proposed. Based on this metric, we design experiments to determine an optimal prediction algorithm for error resilience. Experimental results show that the prediction algorithm can effectively implement error resilience under different packet loss rates. It can also be confirmed that the proposed HPM metric can better reflect the quality of haptic interaction.