Fusion of sparse representation and dictionary matching for identifications of humans in uncontrolled environment

Biomechanics based human identification is a major area of research. Biomechanics based approaches depend on accurately recognizing humans using body movements, the accuracy of these approaches are enhanced by incorporating the knee-hip angle to angle relationships. Current biomechanics based models are developed by considering the biomechanics of human walking and running. In biomechanics the joint angle characteristics, also known as gait features plays a vital role in identification of humans.
Source: Computers in Biology and Medicine - Category: Bioinformatics Authors: Source Type: research