Force and touch feedback for virtual reality
Force and touch feedback for virtual reality
A Psychophysically Motivated Compression Approach for 3D Haptic Data
VR '06 Proceedings of the IEEE conference on Virtual Reality
A Theoretical Analysis of Data Reduction Using the Weber Quantizer
DCC '08 Proceedings of the Data Compression Conference
IEEE Transactions on Signal Processing
Haptic data compression based on curve reconstruction
AIS'11 Proceedings of the Second international conference on Autonomous and intelligent systems
Haptic data compression based on quadratic curve reconstruction and prediction
Proceedings of the Third International Conference on Internet Multimedia Computing and Service
Perceptual coding of recorded telemanipulation sessions
MM '11 Proceedings of the 19th ACM international conference on Multimedia
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In this work, a novel perceptual coding approach for offline compression of haptic media is presented. Our scheme exploits the properties of human haptic perception and hides coding artifacts introduced by lossy compression below the human perception thresholds. We combine the concept of Just Noticeable Differences with predictive coding in order to achieve high coding efficiency without impairing user perception. In our experiments, we apply the proposed lossy compression scheme to haptic data that has been recorded during a telemanipulation session in a virtual environment. Our user studies reveal that our approach leads to strong data reduction up to 100:1 while preserving a high-quality haptic experience during playback of the compressed haptic data streams.