Hand Gesture Recognition Using Micro-Doppler Signatures With Convolutional Neural Network

In this paper, we investigate the feasibility of recognizing human hand gestures using micro-Doppler signatures measured by Doppler radar with a deep convolutional neural network (DCNN). Hand gesture recognition using radar can be applied to control electronic appliances. Compared with an optical re...

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Bibliographic Details
Main Authors: Youngwook Kim, Brian Toomajian
Format: Article
Language:English
Published: IEEE 2016-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/7590035/