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Related Concept Videos

Assessing Body Temperature - Tympanic membrane01:14

Assessing Body Temperature - Tympanic membrane

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Assessing tympanic membrane temperature involves using a tympanic membrane thermometer (TMT). Here is a step-by-step guide:
Step 1: Begin by practicing good hand hygiene to prevent the transmission of microorganisms.
Step 2: Turn on the thermometer and wait until the ready sign appears on the screen to ensure accurate measurement.
Step 3: Slide the probe cover in place to prevent cross-contamination.
Step 4: Instruct the patient to tilt their head to the side for comfort and check for cerumen...
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Assessing Body Temperature - Temporal Artery01:19

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Here is a stepwise guide to assessing the body temperature at the temporal artery using a temporal artery thermometer
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Multichannel Acoustic Spectroscopy of the Human Body for Inviolable Biometric Authentication.

Hyung Wook Noh1,2, Chang-Geun Ahn1, Seung-Hoon Chae1

  • 1Bio-Medical IT Convergence Research Department, Electronics and Telecommunications Research Institute, Daejeon 34129, Korea.

Biosensors
|September 23, 2022
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Summary
This summary is machine-generated.

This study introduces a novel biometric authentication using bioacoustics to analyze internal body structures. The method achieves 99.62% accuracy, offering a secure and versatile alternative to traditional biometrics.

Keywords:
access controlacousticsanti-spoofingbiometricshuman–machine interactionsmultisensor systemsspectral analysis

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Area of Science:

  • Biometrics
  • Signal Processing
  • Human-Computer Interaction

Background:

  • Traditional biometrics (fingerprint, iris, face) focus on external features.
  • Internal body structures and material properties remain underexplored for biometric authentication.
  • Bioacoustics offers a promising approach for internal characteristic analysis.

Purpose of the Study:

  • To develop and evaluate a multichannel bioacoustic biometric authentication system.
  • To investigate the impact of frequency features and sensing channels on recognition accuracy.
  • To assess the feasibility of using internal body characteristics for secure identity verification.

Main Methods:

  • Multichannel bioacoustic signal acquisition from human subjects.
  • Systematic analysis of selectively distilled frequency features.
  • Optimization of scanning frequency and number of sensing channels.
  • Machine learning classification applied to 5,232 datasets from 54 subjects.

Main Results:

  • Achieved a high accuracy of 99.62% in identity recognition.
  • Demonstrated that optimizing scanning frequency and sensing channels significantly improves performance.
  • Showcased the effectiveness of feature selection methods in enhancing biometric accuracy.

Conclusions:

  • The proposed bioacoustic method provides a highly accurate and secure biometric authentication system.
  • This technique offers a versatile solution applicable to various body parts for continuous identity recognition.
  • The study broadens the scope of biometrics by leveraging internal physiological and material characteristics.