A framework for motion capture system design using Cramer-Rao lower bound
Saifeddine Aloui, Christophe Villien, Suzanne Lesecq · 2011
Motion capture system design is becoming an important subject since the number of its applications is steadily growing and new technologies are introduced into the market. This paper presents a theoretical approach based on Cramer-Rao Lower Bound allowing the designer to choose a configuration (i.e. modality, placement) of sensors, compare different approaches and validate the efficiency of the estimation algorithm to be used in estimating the pose of a subject. An adapted Cramer-Rao bound expression has been derived, and its computational algorithm is presented. The optimization of the design of a human machine interface system based on arm, forearm and hand pose capture using magnetic sensors is then presented as an example.