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

Integrated proteogenomic and metabolomic profiling of acute myeloid leukemias to identify molecular subtypes and associated therapy targets.

Nature cancer·2026
Same author

Epidemiology of respiratory infectious diseases after the relaxation of COVID-19 policies: a retrospective study in Xiamen, China.

Frontiers in public health·2026
Same author

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold-Start Mitigation in Attribute Missing Graphs.

IEEE transactions on cybernetics·2026
Same author

Adaptive Prototype-Guided Personalized Propagation for Heterophilic Graphs With Missing Data.

IEEE transactions on neural networks and learning systems·2026
Same author

MedZeroSeg: Zero-shot medical image segmentation via vision foundation models.

PloS one·2026
Same author

Synergistic phosphorus-carboxyl co-modification of dolomite for enhanced immobilization and long-term stabilization of Pb in acidic contaminated soils.

Environmental research·2026

Related Experiment Video

Updated: Oct 20, 2025

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

4.5K

Device-Free Human Identification Using Behavior Signatures in WiFi Sensing.

Ronghui Zhang1, Xiaojun Jing1

  • 1School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China.

Sensors (Basel, Switzerland)
|September 10, 2021
PubMed
Summary

This study introduces WirelessID, a novel system for human identification using WiFi signals. It achieves high accuracy by analyzing fine-grained behavior and body signatures through spatiotemporal features.

Keywords:
channel state informationdeep learningdevice-freehuman identificationwireless sensing

More Related Videos

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment
06:49

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment

Published on: December 11, 2015

9.1K
Effective Analysis of Human Exposure Conditions with Body-worn Dosimeters in the 2.4 GHz Band
06:43

Effective Analysis of Human Exposure Conditions with Body-worn Dosimeters in the 2.4 GHz Band

Published on: May 2, 2018

7.2K

Related Experiment Videos

Last Updated: Oct 20, 2025

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

4.5K
Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment
06:49

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment

Published on: December 11, 2015

9.1K
Effective Analysis of Human Exposure Conditions with Body-worn Dosimeters in the 2.4 GHz Band
06:43

Effective Analysis of Human Exposure Conditions with Body-worn Dosimeters in the 2.4 GHz Band

Published on: May 2, 2018

7.2K

Area of Science:

  • Computer Science
  • Electrical Engineering
  • Biometrics

Background:

  • Human identification is crucial for security and personalized services.
  • Wireless sensing offers a promising, non-intrusive method for human identification.
  • Existing methods often require dedicated sensors or specific user actions.

Purpose of the Study:

  • To propose a novel device-free biometric (DFB) system, named WirelessID, for human identification.
  • To explore the joint analysis of human fine-grained behavior and body physical signatures using channel state information (CSI).
  • To enhance feature extraction robustness by incorporating a spatiotemporal attention mechanism.

Main Methods:

  • Developed the WirelessID system utilizing commercial WiFi devices.
  • Extracted spatiotemporal features from CSI to capture human behavior and body signatures.
  • Implemented a spatiotemporal attention function to improve feature representation.

Main Results:

  • Achieved an average identification accuracy of 93.14% in a real laboratory environment.
  • Reached a best identification accuracy of 97.72% for five individuals.
  • Demonstrated that signal fluctuations from different body parts contribute uniquely to identification.

Conclusions:

  • WirelessID offers an effective device-free biometric solution for human identification.
  • The joint analysis of behavior and physical signatures in CSI, enhanced by attention mechanisms, is highly promising.
  • The system shows practical viability using readily available WiFi infrastructure.