International Journal of Engineering Research in Electronics and Communication Engineering

A Study on Physiological and Biological Feature Descriptors of Human Aging

Author : K. A. Patil ¹

Date of Publication :7th February 2018

Abstract: Human aging research now crosses all areas of physiology and biology. Human age prediction is applied in many realworld areas like forensic art, passport renewal, border security, finding a missing person or criminal, preventing vending machines from selling products, e.g., alcohol, tobacco, to under-aged individuals etc. Incredible changes found in human body during the craniofacial growth and behavioral pattern. This paper presents a study on various physiological and biological approaches used to predict human age. In this paper we discussed many interesting studies of these approaches and given a thorough analysis of problems in human age prediction.

Reference :

1. Zhenzhen Hu, Yonggang Wen, Jianfeng Wang, Meng Wang, Richang Hong, and Shuicheng Yan, “Facial Age Estimation with Age Difference”, 2016 IEEE transactions on image processing, DOI 10.1109/TIP.2016.2633868.
2. M. Fatih Aydogdu and Vakkas Celik and M. Fatih Demirci, “Comparison of Three Different CNN Architectures for Age Classification”, 2017 IEEE computer society 11th International Conference on Semantic Computing, DOI 10.1109/ICSC.2017.61, pp. 372 – 377
3. Zhiqin Zhang, “Apparent Age Estimation with CNN”, Atlantis Press, ICMMITA 2016, Advances in Computer Science Research, volume 7, pp. 152 – 157.
4. V. Thomas, N.V. Chawla, K.W. Bowyer, and P.J. Flynn, “Learning to Predict Gender from Iris Images”, In Proc. IEEE Int. Conf. Biometrics: Theory, Appl. Syst., pp. 1– 5, 2007.
5. Aka P. Sema, Yagan Murat, Canturk Nergis and Dagalp Rukiye, “Direct and Indirect Forensic Age Estimation Methods for Deciduous Teeth”, 2015, Forensic Research, http://dx.doi.org/10.4172/2157-7145.1000273.
6. Andreas Schmeling, Reinhard Dettmeyer, Ernst Rudolf, Volker Vieth, Gunther Geserick, “Forensic Age Estimation”, Article published in Deutsches Ärzteblatt International, Dtsch Arztebl Int 2016; 113: pp. 44–50.
7. Rita Singh , Joseph Keshet, Deniz Gencaga, Bhiksha Raj, “The Relationship Of Voice Onset Time And Voice Offset Time To Physical Age” 2016 IEEE, ICASSP 2016, 978-1-4799-9988-0/16, pp. 5390-5394.
8. Charl van Heerden, Etienne Barnard, Marelie Davel, Christiaan van der Walt Ewald van Dyk, Michael Feld, Christian M. Uller, “Combining Regression And Classification Methods For Improving Automatic Speaker Age Recognition” 2010 IEEE ICASSP 2010,978-1-4244- 4296-6/10, pp. 5174 -5177.