Deep Multi-Modal Network Based Data-Driven Haptic Textures Modeling | IEEE Conference Publication | IEEE Xplore

Deep Multi-Modal Network Based Data-Driven Haptic Textures Modeling


Abstract:

This paper presents a novel data-driven approach for haptic texture modeling using a deep multi-modal network. The network is trained using contact acceleration data that...Show More

Abstract:

This paper presents a novel data-driven approach for haptic texture modeling using a deep multi-modal network. The network is trained using contact acceleration data that are collected when a stylus is scanned on a textured surface with diverse scanning velocities, directions, and forces, which used for recreating the acceleration profile in real-time. We present some preliminary results to demonstrate the effectiveness of the proposed approach.
Date of Conference: 06-09 July 2021
Date Added to IEEE Xplore: 23 August 2021
ISBN Information:
Conference Location: Montreal, QC, Canada

References

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