Speculation of Hand Features from Middle Finger Width: A Novel Approach

Abstract

The hands play a significant role in non-verbal communication. Hands may be affected by many disorders, most commonly traumatic injury. In treating hand problems, the mastery of anatomy is fundamental in order to provide the best quality of care. An attempt is made to predict all the geometric features of the hand only with the help of middle finger width. Geometric features of both the hands from 100 people of different age group were extracted from the silhouettes. The proposed method can be used to predict finger length, position of knuckles and also finger width at the first and second knuckle of all fingers using taalamana system and golden ratio. The estimation accuracy of more than 90% is achieved for all the estimated features of the hand except for thumb width which is 85%.