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

Preventing vasovagal reactions during forensic autopsies: an analysis of risk factors and educational strategies for police officers.

Legal medicine (Tokyo, Japan)·2026
Same author

A Physics-Grounded Multi-Modal Sensor Fusion Framework for Pedestrian Impact Kinematic Reconstruction Under Uncertainty: Phase 1 Design and Theoretical Evaluation.

Sensors (Basel, Switzerland)·2026
Same author

Causes of severe injuries in wheelchair user motor vehicle passengers: pilot study for future safety restraint system.

Environmental health and preventive medicine·2026
Same author

Sleep-Related Infant Deaths in Japan.

JAMA network open·2026
Same author

Gastroptosis as a Risk Factor of Stent Migration After Endoscopic Ultrasound-guided Hepaticogastrostomy: A Case Report.

DEN open·2026
Same author

Predictors for Home Discharge and Need for Medical Care at Home in Paediatric ICU Patients: A Single-Centre Retrospective Study.

Nursing in critical care·2026

Related Experiment Video

Updated: Nov 29, 2025

Image Rendering Techniques in Postmortem Computed Tomography: Evaluation of Biological Health and Profile in Stranded Cetaceans
12:32

Image Rendering Techniques in Postmortem Computed Tomography: Evaluation of Biological Health and Profile in Stranded Cetaceans

Published on: September 27, 2020

9.8K

Exploring the potential for age estimation using facial image sensing technology for postmortem investigation.

Arisa Takeda1, Tokiko Nakagawa1, Marin Takaso1

  • 1Department of Legal Medicine, Shiga University of Medical Science, Otsu, Japan.

Legal Medicine (Tokyo, Japan)
|November 19, 2020
PubMed
Summary

Facial imaging software shows promise for estimating living individuals' ages but is not yet accurate enough for determining cadaver ages. Experienced medical examiners remain essential for forensic age estimation.

Keywords:
Age estimationFacial image sensing technologyPersonal identificationPostmortem examinations

More Related Videos

Optimized Bone Sampling Protocols for the Retrieval of Ancient DNA from Archaeological Remains
06:18

Optimized Bone Sampling Protocols for the Retrieval of Ancient DNA from Archaeological Remains

Published on: November 30, 2021

4.7K
Abbiategrasso Brain Bank Protocol for Collecting, Processing and Characterizing Aging Brains
12:28

Abbiategrasso Brain Bank Protocol for Collecting, Processing and Characterizing Aging Brains

Published on: June 3, 2020

17.9K

Related Experiment Videos

Last Updated: Nov 29, 2025

Image Rendering Techniques in Postmortem Computed Tomography: Evaluation of Biological Health and Profile in Stranded Cetaceans
12:32

Image Rendering Techniques in Postmortem Computed Tomography: Evaluation of Biological Health and Profile in Stranded Cetaceans

Published on: September 27, 2020

9.8K
Optimized Bone Sampling Protocols for the Retrieval of Ancient DNA from Archaeological Remains
06:18

Optimized Bone Sampling Protocols for the Retrieval of Ancient DNA from Archaeological Remains

Published on: November 30, 2021

4.7K
Abbiategrasso Brain Bank Protocol for Collecting, Processing and Characterizing Aging Brains
12:28

Abbiategrasso Brain Bank Protocol for Collecting, Processing and Characterizing Aging Brains

Published on: June 3, 2020

17.9K

Area of Science:

  • Forensic science
  • Biometrics
  • Medical imaging

Background:

  • Accurate age estimation is crucial in forensic investigations.
  • Traditional methods rely on human expertise, which can be subjective.
  • Advancements in facial imaging technology offer potential for objective age assessment.

Purpose of the Study:

  • To evaluate the efficacy of facial imaging sensing technology for estimating the age of cadavers.
  • To compare the accuracy of this technology in living subjects versus cadavers.
  • To determine if automated age estimation can replace human forensic practitioners.

Main Methods:

  • Utilized FieldAnalyst for Signage Ver. 6.0 AW32 age estimation software.
  • Captured facial images of 28 living subjects at various angles with eyes open/closed.
  • Applied the validated procedure to 61 cadavers, capturing images with eyes closed at a 0° angle.

Main Results:

  • Optimal conditions for living subjects: eyes closed, 0° angle, yielding a 0.78 Spearman's rank correlation and 93% within ±10 years.
  • For cadavers, a 0.69 Pearson's correlation was observed, but only 39.3% were within ±10 years of actual age.
  • Significant discrepancies were found between estimated and actual ages in cadavers.

Conclusions:

  • Facial imaging technology, while effective for living individuals, lacks the required accuracy for reliable age estimation in cadavers.
  • Current technology is insufficient to replace experienced medical examiners in postmortem age determination.
  • Human expertise remains indispensable for accurate forensic age assessment of deceased individuals.