K et al., Enhancing Haptic Distinguishability with Boosting, IEEE Haptics Symposium 2022
Channel: IEEE Haptics Symposium
Date: 2022-03-15

Priyadarshini K., S. Chaudhuri, Enhancing Haptic Distinguishability of Surface Materials with Boosting Technique, Proceedings of IEEE Haptics Symposium 2022
Abstract: Discriminative features are crucial for various learning applications such as object detection and classification. Neural network models have shown enormous potential in extracting discriminative features in the vision and speech domain. However, the lack of large datasets in the haptics domain often limits the applicability of such techniques. This paper presents a general framework for the analysis of the discriminative properties of haptic signals. We demonstrate the effectiveness of metric-based feature transformation techniques in enhancing the distinguishability of haptic signals. Experiments indicate our framework needs less training data, generalizes well for different predictors, and outperforms the related state-of-the-art.
#haptics #haptics2022 #BoostingTechnique #MaterialClassification
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