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Related Concept Videos

Ultrasonography01:17

Ultrasonography

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Ultrasonography is an imaging technique that uses high-frequency sound waves to visualize the body's internal structures. It is a non-invasive and safe procedure that does not involve the use of ionizing radiation, making it widely used in various medical fields. Ultrasonography is used to study heart function, blood flow in the neck or extremities, certain conditions such as gallbladder disease, and fetal growth and development.
During an ultrasonography procedure, a handheld device called...
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Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision
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UltrasonicGS: A Highly Robust Gesture and Sign Language Recognition Method Based on Ultrasonic Signals.

Yuejiao Wang1, Zhanjun Hao1,2, Xiaochao Dang1,2

  • 1College of Computer Science and Engineering, Northwest Normal University, Lanzhou 730070, China.

Sensors (Basel, Switzerland)
|February 28, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces UltrasonicGS, a contactless gesture and sign language recognition system using ultrasonic signals. It achieves high accuracy for single and continuous gestures, aiding in infection control and communication accessibility.

Keywords:
CTCGANgesture recognitionsign language recognitionultrasonic sensing

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Area of Science:

  • Acoustic Sensing
  • Human-Computer Interaction
  • Biomedical Engineering

Background:

  • Contactless interaction is crucial for infection control during pandemics.
  • Recognizing sign language and gestures is challenging for sensing technologies.
  • Acoustic sensing offers a low-cost, accessible method for behavior perception.

Purpose of the Study:

  • To develop a contactless gesture and sign language sensing method using ultrasonic signals.
  • To improve the performance and robustness of acoustic-based behavior recognition.
  • To address the need for recognizing Chinese sign language via acoustics.

Main Methods:

  • Utilized Generative Adversarial Network (GAN) for data augmentation.
  • Implemented a CRNN network combined with Connectionist Temporal Classification (CTC) for sequence alignment.
  • Developed the UltrasonicGS system for contactless gesture and sign language sensing.

Main Results:

  • Achieved a 98.8% recognition rate for 15 single gestures.
  • Reached an 86.3% average correct recognition rate for continuous Chinese sign language gestures.
  • Demonstrated high accuracy and robustness in real-world scenarios.

Conclusions:

  • UltrasonicGS offers a low-cost, robust solution for contactless gesture and sign language recognition.
  • The system enhances accessibility for deaf individuals and aids in infection prevention.
  • Acoustic sensing provides a viable alternative for human behavior perception.