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An Efficient and Secure Range Query Scheme for Encrypted Data in Smart Grid Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Gesture Recognition System Based on RFID

Authors : Xuan Wang, Xin Kou, Zifan Wang, Lanqing Wang, Baoying Liu, Feng Chen

Published in: Mobile Ad-hoc and Sensor Networks

Publisher: Springer Singapore

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Abstract

Gestures recognition as the main technology of human-computer interaction draws a great amount attention of researchers. Comparing to existing methods, the RFID-based passive gesture recognition requires no specialized equipment which makes it much easier to be used. To achieve the goal, we build a priori gesture database according to signal features caused by perturbation of different gestures. Then, the modified dynamic time warping (DTW) algorithm has been used to match with the priori fingerprint database. Besides, we propose a wireless phase calibration algorithm by utilizing the theory that the noise subspace and the signal subspace is orthogonal in multiple signal classification (MUSIC) algorithm to estimate and remove phase errors that may caused by equipment differences so that we can ensure the accuracy of angle of arrival (AoA) estimation. To evaluate the effectiveness of our gesture recognition system, the experiments in a real scene were carried out. And the experimental results show that we can achieve about 92% accuracy.

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Metadata
Title
Gesture Recognition System Based on RFID
Authors
Xuan Wang
Xin Kou
Zifan Wang
Lanqing Wang
Baoying Liu
Feng Chen
Copyright Year
2018
Publisher
Springer Singapore
Book
Mobile Ad-hoc and Sensor Networks

Print ISBN: 978-981-10-8889-6

Electronic ISBN: 978-981-10-8890-2

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-981-10-8890-2_31

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