Finger Gesture Detection Experiment using Software Defined Radio Radar

Penulis

  • Edwar Edwar School of Electrical Engineering, Telkom University
  • Erfansyah Ali School of Electrical Engineering, Telkom University
  • Rizkia Feriska School of Electrical Engineering, Telkom University
  • Ikhwan Muzzaki School of Electrical Engineering, Telkom University

DOI:

https://doi.org/10.15575/telka.v9n2.99-106

Kata Kunci:

Radar, Human to Machine Communication, SDR, continuous wave signal, Finger Gestures

Abstrak

Human gesture detection for Human to Machine (H2M) Communication is usually done by using a camera. However, this device has a dependency of light illumination. To overcome this limitation, a radar can be utilized to read the finger gesture because it uses electromagnetic wave that is independent of the light appereance. Radar device is usually complicated and consists of components. In this research, a Software Defined Radio (SDR) was used to simplify the radar device circuit. The SDR generated the continuous wave (CW) signal that is suitable for detecting moving object such as finger gesture. The radar was working on 2.4 GHz of frequency. The results of the CW radar system using SDR shows that each gesture has a different reflected signal pattern, amplitude, and phases so we can conclude that each gesture has a character that can be distinguished through the characterization of reflected electromagnetic waves. This promising result can be the future application such as H2M) communication.

Referensi

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Edwar, A. A. Pramudita, and E. Ali, “Gesture Motion Interpretation Using CW Radar for H2M Communication,” Proc. - 2019 Int. Conf. Radar, Antenna, Microwave, Electron. Telecommun. ICRAMET 2019

Y. Xu and Y. Lu, "Touchless Control by Hand Gesture Sensing with Radar Sensor and Machine Learning," 2021 IEEE 10th Global Conference on Consumer Electronics (GCCE), 2021

G. Zhang, S. Lan, K. Zhang and L. Ye, "Temporal-Range-Doppler Features Interpretation and Recognition of Hand Gestures Using mmW FMCW Radar Sensors," 2020 14th European Conference on Antennas and Propagation (EuCAP), 2020

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Diterbitkan

21-11-2023

Cara Mengutip

Edwar, E., Ali, E., Feriska, R., & Muzzaki, I. (2023). Finger Gesture Detection Experiment using Software Defined Radio Radar. TELKA - Telekomunikasi Elektronika Komputasi Dan Kontrol, 9(2), 99–106. https://doi.org/10.15575/telka.v9n2.99-106

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