Human Gesture Recognition using Dual Quaternion Algebra

This work proposes an approach for interpretation of human pointing gestures using geometric primitives represented by dual quaternions. Objects are modeled with planes and a line represents the gesture. The crossing point between line and plane determines the indicated object. Experimental results show a mean success rate of 77,78% (standard deviation of 16,41%) in the system’s interpretation.