Sensory Systems for Human Body Gesture Recognition and Motion Capture

Abstract

Sensor-based systems for detecting, recognizing and measuring the position and movement of the human body in a three-dimensional space with great accuracy and precision have been widespread in last decades. Starting from consolidated optical systems, which still represent the reference for other cost effective systems, this work presents smart solutions for motion capture and posture recognition systems, either based on the most popular inertial sensors, but also flex sensors, such as the sensory gloves for measurement of bending angles of finger joints, whose development increases at the same rate of application developed to exploit the potential of these systems. Recently surface electromyography (sEMG) is gaining more and more importance in gesture recognition systems for disabled skills assessment and prosthesis control of transradial amputees.