LB1652 Images of the Hand Are Comparable to Those of the Face for Predicting Chronological Age Via AI

The prediction of a person's chronological age (CA) from visible skin features using artificial intelligence (AI) is now commonplace in computer vision. Most often, this is accomplished by convolutional neural network (CNN) models based on facial images as the biometric data. However, hands also hold telltale signs of a person's age, maybe even more telling than the face. To determine the utility of hand images in predicting CA, we developed two deep CNNs, one based on standardized dorsal hand images (H) and another on frontal face images (F).