DeepTouch: Enabling Touch Interaction in Underwater Environments by Learning Touch-Induced Inertial Motions
Author:
Affiliation:
1. Department of Mechanical, Robotics and Energy Engineering, Dongguk University, Seoul, South Korea
2. Department of Sports Science, Machine Learning Systems Laboratory, Sungkyunkwan University, Suwon, South Korea
Funder
National Research Foundation of Korea (NRF) Grant through the Korean Government
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/9766065/09745618.pdf?arnumber=9745618
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