IEEE Transactions on Haptics
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From the April-June 2017 issue
Multimodal Feature-Based Surface Material Classification
By Matti Strese, Clemens Schuwerk, Albert Iepure, and Eckehard Steinbach
When a tool is tapped on or dragged over an object surface, vibrations are induced in the tool, which can be captured using acceleration sensors. The tool-surface interaction additionally creates audible sound waves, which can be recorded using microphones. Features extracted from camera images provide additional information about the surfaces. We present an approach for tool-mediated surface classification that combines these signals and demonstrate that the proposed method is robust against variable scan-time parameters. We examine freehand recordings of 69 textured surfaces recorded by different users and propose a classification system that uses perception-related features, such as hardness, roughness, and friction; selected features adapted from speech recognition, such as modified cepstral coefficients applied to our acceleration signals; and surface texture-related image features. We focus on mitigating the effect of variable contact force and exploration velocity conditions on these features as a prerequisite for a robust machine-learning-based approach for surface classification. The proposed system works without explicit scan force and velocity measurements. Experimental results show that our proposed approach allows for successful classification of textured surfaces under variable freehand movement conditions, exerted by different human operators. The proposed subset of six features, selected from the described sound, image, friction force, and acceleration features, leads to a classification accuracy of 74 percent in our experiments when combined with a Naive Bayes classifier.
Editorials and Announcements
- An article by Domenico Prattichizzo and his colleagues at the University of Siena, Italy on a wearable haptic device that will be published in Transactions in Haptics has been featured in Science magazine news: http://www.sciencemag.org/news/2017/04/finger-devices-let-users-touch-objects-virtual-reality
- Read "A Haptic Compass for Navigation" written by EIC Lynette Jones for the Spotlight series in Computer magazine that discusses a paper by J.P. Choinière and C. Gosselin published in the January-March 2017 issue which examined the use of asymmetric torque stimuli presented in a hand-held device as a navigation aid.
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- Biology to Technology in Active Touch Sensing – Introduction to the Special Section (April-June 2016)
- Haptic Assistive Technology for Individuals who are Visually Impaired (July-Sept 2015)
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- Book Review: Taking the Other Cinderella to the Ball: A Review of Psychology of Touch and Blindness (PDF)
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- News from the Field: Coders and the Creative Unite to Design and Build Apps for Surface Haptics (April-June 2015)
- News from the Field Asia Haptics (Jan-March 2015)
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