Evaluation of a modular and hierarchical movement planner under a combination of different conditions in designing the Sit-to-Stand transfer

Computer modeling of human behavior is an interesting branch in motor control science and it has attracted many researchers in the neuroscience and bioengineering field. Having a good perception of the role of Central Nervous System (CNS) and its strategies in planning and controlling of human movements will improve the bioengineering topics such as rehabilitation protocols and sport techniques. In present research a computer simulation of CNS's performance in designing the Sit-to-Stand transfer is developed. The mention simulation is based on decomposition hypothesis. Decomposition hypothesis sates that the CNS decomposes a complicated movements to several simpler phases. According to this hypothesis a modular and hierarchical movement planner (MHMP), which has been recently presented, is modified to describe the function of CNS in planning the Sit-to-Stand different phases under combination of different environmental conditions. The performance of the modified MHMP is evaluated with experimental captured motion. The results show that the original MHMP has a good performance in planning the motion phases under single environmental condition but it fails under a combination of different conditions, while the modified MHMP shows good performance in such cases.