Advances in Haptics 2010
DOI: 10.5772/8715
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Haptic Data Transmission Based on the Prediction and Compression

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Cited by 6 publications
(8 citation statements)
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References 8 publications
(11 reference statements)
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“…Quantization techniques (e.g., Adaptive DPCM) for kinesthetic data reduction are presented in [80]. In [81], kinesthetic data are 32bit IEEE floating-point values. After the master and slave device have exchanged enough raw data, a simple position prediction method was proposed.…”
Section: ) Statistical Schemesmentioning
confidence: 99%
“…Quantization techniques (e.g., Adaptive DPCM) for kinesthetic data reduction are presented in [80]. In [81], kinesthetic data are 32bit IEEE floating-point values. After the master and slave device have exchanged enough raw data, a simple position prediction method was proposed.…”
Section: ) Statistical Schemesmentioning
confidence: 99%
“…Some papers discussed issues related to package loss [10,14,3,15,8,16,13]. Nevertheless, none of them presents experiments in a real environment, but only simulated results.…”
Section: Dcve Over Internetmentioning
confidence: 96%
“…Once they are received, the controlled surgical robot will perform these actions on the patient and generate the corresponding feedback. The feedback will then be sent Using previously quantized samples to generate a predicted value for the current sample [52], [53] Lossy compression (e.g., discrete cosine transform (DCT))…”
Section: B Illustrative Use Casesmentioning
confidence: 99%