Cockpit maneuvering comfort assessment based on motion capture and RULA
A new aircraft is developed in three steps:identifying the development goals,creating a computerized model,and creating the prototype.In the physical prototype,the pilot's rating and subjective experience are frequently used to assess the pilot's maneuvering comfort.The subjective findings lack a foundation in reality.In order to measure the pilots'comfort with maneuvering in a physical prototype using an upgraded fuzzy comprehensive assessment approach,it was proposed in this paper to merge human motion capture technology with the rapid upper limb assessment(RULA)method.The Perception Neuron Studio motion capture system was chosen for the experiment,and Axis Studio software was used to calculate and obtain the actual maneuvering comfort data of the cockpit.The software obtained the joint space point positions of typical maneuvers performed by 10 subjects in a smart cockpit during the airfield traffic pattern.To synthesis the real maneuvering comfort data and increase the accuracy of cockpit comfort judgments,subjects filled out the NASA-TLX subjective scale.The maneuvering comfort assessment approach described in this work,which is universal and not dependent on the kind of cockpit or level of intelligence,serves as a crucial point of reference for future research on the evaluation and improvement of intelligent cockpits.