Abstract

This paper introduces a human gesture recognition algorithm using an impulse radio ultra-wide- band (IR-UWB) radar sensor. Human gesture recognition has been one of the hottest research topics for quite a long time. Many gesture recognition algorithms or systems using other sensors have been proposed such as using cameras, RFID tags and so on. Among which gesture recognition systems using cameras have been extensively studied in past years and widely used in practical. While it might show some deficiencies in some cases. For example, the users might not like to be filmed by cameras considering their privacies. Besides, it might not work well in very dark environments. While RFID tags could be inconvenient to many people and are likely to be lost. Our gesture recognition algorithm uses IR-UWB radar sensor which has pretty high resolution in ranging and adjustable gesture recognition range, meanwhile, does not have problems in privacy issues or darkness. In this paper, the gesture recognition algorithm is based on the moving direction and distance change of the human hand and the change of the frontal surface area of hand towards radar sensor. By combining these changes while doing gestures, the algorithm may recognize basically 6 kinds of hand gestures. The experimental results show that these gestures are of quite good performance. The performance analysis from experiments is also given.

Highlights

  • The impulse radio ultra-wideband (IR-Ultra-Wide Band (UWB)) technology uses extremely wide bandwidth impulse signal to detect moving objects by transmitting and receiving impulse signal [1]

  • The signal received from the impulse radio ultra-wideband (IR-UWB) radar sensor can be represented as a summation of the multipath signals, target signals, and additive white Gaussian noise (AWGN) as follows [1]:

  • The gesture recognition algorithm in this paper is based on the moving direction of the hand and the change of the frontal surface area of hand towards IR-UWB radar sensor

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Summary

Introduction

The impulse radio ultra-wideband (IR-UWB) technology uses extremely wide bandwidth impulse signal to detect moving objects by transmitting and receiving impulse signal [1]. IR-UWB technology has many outstanding features such as high range resolution, good penetrability [2] low power consumption and so on. Due to these features, IR-UWB becomes a technology which receives a great deal of attention in many application fields, for example ranging and positioning system [3] [4], human detection [5] [6], vital sign monitoring [7] and so on. (2016) Algorithm for Gesture Recognition Using an IR-UWB Radar Sensor. A gesture recognition algorithm using an IR-UWB radar sensor is presented. The algorithm mainly observes and analyzes the moving direction, moving distance and the frontal surface area of hand towards IR-UWB radar sensor.

Signal Model
Gesture Recognition Algorithm
Experimental Results
Conclusion

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