Tactile Sensing, Information, and Feedback via Wave Propagation by Yitian Shao

Author:Yitian Shao
Language: eng
Format: epub
ISBN: 9783030908393
Publisher: Springer International Publishing

Fig. 4.12Determining number of bases and activation constraints from gesture classifications. Left: The rate of correct classification of the contact gestures increased as the number of bases grew. Cross-individual classification rate peaked at five bases. Right: As the subset of activated bases grew from 2 to 12, the rate of classification increased by less than 15%

Information of Manual Interactions

In addition to sparseness (Eq. 4.3), the encoding efficiency of different hand interactions was also compared based on information entropy. We assessed the diversity of the encoding by computing the empirical Shannon information entropy of the activation values across the entire dataset, as follows. Discretize the activation values and let be the probability that a randomly drawn activation from any stimulus, channel, or time has a value lying in histogram bin k. The joint entropy of activations in all channels was

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