DeepXPalm: Tilt and Position Rendering using Palm-worn Haptic Display and CNN-based Tactile Pattern Recognition-Reference-Cited by-同舟云学术

DeepXPalm: Tilt and Position Rendering using Palm-worn Haptic Display and CNN-based Tactile Pattern Recognition

Published:2022-03-21 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Haptics Symposium (HAPTICS)
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Author:

Cabrera Miguel Altamirano¹,Sautenkov Oleg¹,Tirado Jonathan¹,Fedoseev Aleksey¹,Kopanev Pavel¹,Kajimoto Hiroyuki²,Tsetserukou Dzmitry¹

Affiliation:

1. Space Center, Skolkovo Institute of Science and Technology (Skoltech),Moscow,Russia,121205

2. The University of Electro-Communications,Tokyo,Japan

Funder

RFBR

CNRS

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9765562/9765563/09765571.pdf?arnumber=9765571

Reference22 articles.

1. Tactile Perception of Objects by the User’s Palm for the Development of Multi-contact Wearable Tactile Displays

2. Haptic Feedback to the Palm and Fingers for Improved Tactile Perception of Large Objects

3. Psychophysical Haptic Measurement of Vertical Perception: Elucidating a Hand Sensory Bias

4. Identifying Virtual 3D Geometric Shapes with a Vibrotactile Glove

5. Linkglide: A wearable haptic display withinverted five-bar linkages for deliveringmulti-contact and multi-modal tactile stimuli;cabrera;Asia-Haptics 2018 Haptic Interaction,2018

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1. Fast and accurate object recognition based on tactile data by using Dendrite Net;2023 IEEE International Instrumentation and Measurement Technology Conference (I2MTC);2023-05-22

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