Hand Gesture Recognition Using Ultrasonic Waves

2017/10/24 by Mohammed H. AlSharif, AlSharif, Mohammed H., Mohamed Saad +3
Computer Science · Engineering · #FOS: Electrical engineering #Hand Gesture Recognition Systems #Robotics and Automated Systems #Signal Processing (eess.SP) #electronic engineering #information engineering

paper · pdf · doi:10.48550/arxiv.1710.08623

openalex publication_date 2017/10/24 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

This paper presents a new method for detecting and classifying a predefined set of hand gestures using a single transmitter and a single receiver utilizing a linearly frequency modulated ultrasonic signal. Gestures are identified based on estimated range and received signal strength (RSS) of reflected signal from the hand. Support Vector Machine (SVM) was used for gesture detection and classification. The system was tested using experimental setup and achieved an average accuracy of 88%.

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