The use of Kinect sensor for human age estimation: A review

Abstract

An age estimation term refers to the procedure of expecting human’s consecutive age based on different factors or indicators. These factors could be a physical feature like, color of the hair, wrinkles, and the shape of the body. Also, could be a biological feature like, DNA methylation or dental growth. The approaches or techniques used in age estimation could be simple as visual opinion or a more complex as by analyzing diverse database using machine learning methods and algorithms. The algorithms used features extracted from images which captured using various technologies, one of these technologies is Kinect sensor due to its abilities for providing facial, skeleton, and body features. In this study, age estimation applications, human age features, database, approaches used for age estimation, Kinect sensor abilities, limitation, and improvements algorithms, are presented with the most related works, the final section is for the conclusions.