From Kinect skeleton data to hand gesture recognition with radar

From Kinect skeleton data to hand gesture recognition with radar

In an era where man-machine interaction increasingly uses remote sensing, gesture recognition through use of the micro-Doppler (mD) effect is an emerging application which has attracted great interest. It is a sensible solution and here the authors show its potential for detecting aperiodic human mo...

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Bibliographic Details
Main Authors: Jiayi Li, Aman Shrestha, Julien Le Kernec, Francesco Fioranelli
Format: Article
Language:English
Published: Wiley 2019-09-01
Series:The Journal of Engineering
Subjects:
support vector machines
image classification
gesture recognition
image sensors
feature extraction
image sampling
radar imaging
doppler radar
aperiodic human movements
hand gestures
handcrafted features
simulated md signatures
kinect skeleton data
data augmentation
synthetic minority oversampling technique
synthetic samples
support vector machine
neighbour classifier
man-machine interaction
remote sensing
microdoppler effect
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0557

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https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0557

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