Exploring the potential for age estimation using facial image sensing technology for postmortem investigation |
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| Institution: | 1. Key Laboratory of Molecular Cytogenetics and Genetic Breeding of Heilongjiang Province, College of Life Science and Technology, Harbin Normal University, Harbin 150025, Heilongjiang, PR China;2. State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, 200433, PR China;3. Health GeneTech, Ningbo 315000, PR China;4. Department of Radiology, First Affiliated Hospital, Medical College of Shantou University, Shantou 515041, PR China;5. Criminal Justice College of China University of Political Science and Law, Beijing 100088, PR China;6. Department of Anthropology and Ethnology, Institute of Anthropology, National Institute for Data Science in Health and Medicine, and School of Life Sciences, Xiamen University, Xiamen 361005, PR China;1. Department of General Dentistry, Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China;2. Department of Orthodontics, Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China;3. Department of Oral Radiology, Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China;4. National Clinical Research Center for Oral Diseases, Shanghai Key Laboratory of Stomatology & Shanghai Research Institute of Stomatology, Shanghai, China;1. Area of Zoology, Faculty of Biology, University of Murcia, 30100 Murcia, Spain;2. Identification Department, Forensic Services, Guardia Civil, 28003 Madrid, Spain;3. University Expert, Regional Forensic Laboratory, Guardia Civil, 30007 Murcia, Spain;4. Regional Headquarter, Guardia Civil, 30007 Murcia, Spain;5. Area of Legal and Forensic Medicine, Faculty of Medicine, University of Murcia, 30100 Murcia, Spain;1. Faculty of Medicine, Universiti Teknologi MARA, Sungai Buloh Campus, 47000 Selangor, Malaysia;2. Institute of Pathology, Laboratory & Forensic Medicine (I-PPerForM), Universiti Teknologi MARA, 47000 Sungai Buloh, Selangor, Malaysia |
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| Abstract: | In this study, we examine the potential for using face imaging sensing technology in place of a human forensic practitioner to estimate the age of cadavers. We used the age estimation software FieldAnalyst for Signage Ver. 6.0 AW32. To validate the usefulness of its age estimation for living subjects, images of 28 subjects were taken at three angles (+30°, 0°, and ?30°) with respect to the horizontal plane, with their eyes open and closed. The highest positive correlation between mean the estimated age and the actual age (y = 1.02x ? 0.35, and Spearman’s rank correlation coefficient of 0.78, P < 0.001) was obtained when the subjects had their eyes closed and the image was captured at an angle of 0°. The ages of 93% of the subjects were estimated within ±10 years of their actual ages. We then applied this procedure to 61 cadavers with their eyes closed. Facial images were taken at an angle of 0° with respect to the horizontal plane and used to estimate the ages of the cadavers. Although a positive correlation between the actual and mean estimated ages was obtained (y = 1.28x + 0.43, Pearson’s correlation coefficient of 0.69, P < 0.001), the mean estimated ages of only 39.3% of the subjects were within ±10 years of their actual ages. It appears that this technology is not accurate enough to use to determine the age of a cadaver. Therefore, medical inspectors with adequate knowledge and experience are still required for postmortem examination. |
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| Keywords: | Age estimation Facial image sensing technology Personal identification Postmortem examinations |
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