Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Effect of Space Order on Impulse Buying: Moderated by Self-Construal.

Behavioral sciences (Basel, Switzerland)·2023
Same author

The Mediating Effect of Psychological Ownership on the Relationship between Value Co-Creation and the In-App Purchasing Intention of Mobile Games Players.

Behavioral sciences (Basel, Switzerland)·2023
Same author

Quantum fisher information of an optomechanical force sensor driven by a squeezed vacuum field.

Optics express·2022
Same author

A Behavioral Strategy to Nudge Young Adults to Adopt In-Person Counseling: Gamification.

Behavioral sciences (Basel, Switzerland)·2022
Same author

Photonic hybrid state entanglement swapping using cat state superpositions.

Proceedings. Mathematical, physical, and engineering sciences·2020
Same author

Logical measurement-based quantum computation in circuit-QED.

Scientific reports·2019
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Jun 9, 2025

Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision
08:15

Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision

Published on: March 28, 2025

403

Hand Gesture Recognition Using Ultrasonic Array with Machine Learning.

Jaewoo Joo1, Jinhwan Koh2, Hyungkeun Lee3

  • 1Department of Electronic Engineering, Gyeongsang National University, Jinju 52828, Republic of Korea.

Sensors (Basel, Switzerland)
|October 26, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces an ultrasonic array for precise hand gesture recognition, achieving over 98% accuracy. The system effectively tracks single-hand movements in 3D space for computer interaction.

Keywords:
artificial intelligenceconvolutional neural networkhand gesture recognitionultrasonic array

More Related Videos

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

2.6K
Recording Mouse Ultrasonic Vocalizations to Evaluate Social Communication
10:28

Recording Mouse Ultrasonic Vocalizations to Evaluate Social Communication

Published on: June 5, 2016

22.4K

Related Experiment Videos

Last Updated: Jun 9, 2025

Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision
08:15

Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision

Published on: March 28, 2025

403
Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

2.6K
Recording Mouse Ultrasonic Vocalizations to Evaluate Social Communication
10:28

Recording Mouse Ultrasonic Vocalizations to Evaluate Social Communication

Published on: June 5, 2016

22.4K

Area of Science:

  • Engineering
  • Computer Science
  • Human-Computer Interaction

Background:

  • Accurate human gesture recognition is vital for advanced human-computer interaction.
  • Ultrasonic transducers offer precise object detection but struggle with distinguishing multiple objects due to wide beamwidths.
  • Leveraging the strengths of ultrasonic transducers for gesture recognition requires innovative array designs.

Purpose of the Study:

  • To develop an effective gesture recognition system using an ultrasonic array.
  • To overcome the limitations of individual ultrasonic transducers in distinguishing multiple objects.
  • To enable accurate tracking of unrestricted single-hand movements in three-dimensional space.

Main Methods:

  • An ultrasonic array was constructed with eight transmitting transducers in a circular formation and one central receiving transducer.
  • The array generated a wide beam area capable of measuring hand movements along the X, Y, and Z axes.
  • Hand gesture data were collected at various distances (10-90 cm) and processed using a customized Convolutional Neural Network (CNN) model.

Main Results:

  • The proposed ultrasonic array system demonstrated high accuracy in gesture recognition.
  • A customized Convolutional Neural Network (CNN) model achieved over 98% accuracy on raw gesture data.
  • The system proved effective for real-time computer interaction applications.

Conclusions:

  • The developed ultrasonic array system provides a robust solution for accurate gesture recognition.
  • The system's ability to track unrestricted hand movements makes it suitable for intuitive computer interfaces.
  • This research highlights the potential of ultrasonic technology in advancing gesture recognition capabilities.