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Radar-Based Hand Gesture Recognition by Sujatha Sujatha is a document available to read on EtoBox.

What is Radar-Based Hand Gesture Recognition about?

This document summarizes a research paper on hand gesture recognition using radar micro-Doppler signatures. It discusses extracting the upper and lower envelopes of the micro-Doppler signatures as features to classify five classes of hand gestures: swiping, rotating, flipping fingers, calling, and snapping fingers. The technique is shown to outperform dimensionality reduction using PCA and sparse reconstruction, achieving over 96% classification accuracy on measured radar data of hand gestures.

Author
Sujatha Sujatha
Language
EN