Research On Driver Measurement And Comfortable Sitting Posture For Intelligent Cockpit

In the trend of new energy vehicles replacing traditional vehicles,cars are gradually transforming into a mobile terminal with rich multiple functions and intelligences.The degree of intelligence,networking and automation of cars has become an important factor affecting consumers’ car purchases.In the future,cars will become the third living space of people rather than only means of transportation,which puts forward higher requirements for the comfort and safety of vehicles.In driving posture,long-term contact between the driver and the seat is easy to cause muscle fatigue,and even lead to driving diseases.Therefore,how to improve driving comfort and driving experience is one of the research directions of future cars.Therefore,in order to improve driver comfort and safety,this paper proposes a seat adjustment method including driver measurement and driver comfortable sitting position arrangement,aiming at improving driver convenience,correct poor driving posture,and optimize the driver’s driving experience.First of all,this paper expounds the work flow of passenger car cab layout based on ergonomics.The main contents include the layout of human body model,driver’s H point position curve,seat,eye ellipse,steering wheel and other control components.After the theoretical analysis of cab layout,it is determined that the data of the driver is the main basis for the layout and positioning of each control component in the cab.Therefore,low-cost Kinect camera is used in this paper to measure physical information of drivers without contact when before they drive the car.The hardware composition of Kinect,the acquisition of color image,depth image and human bone image are introduced successively.The distance between the two joints and the joint angle information were calculated through the bone point information,and the joint angle was taken as the screening condition to eliminate the height calculation results that did not meet the standing posture,which achieved fast and accurate measurement of the driver’s physical signs from the car end.Then,aiming at the seat layout problem of drivers with different heights,this paper designed a four-factor and three-level orthogonal bench test to study the appropriate H point position curve and seat parameter adjustment law of drivers.The research results show that driver comfort should be studied from the subjective evaluation and objective measurement data of drivers,and the factors affecting driver comfort at different percentiles are different.The comfort of drivers with low height is mainly affected by the front and rear positions of seat,while the tall drivers are affected by the front position and rear positions of seat,cushion angle and backrest angle.In addition,the pressure parameters and joint angles associated with driver comfort are also obtained.Finally,based on the experimental results and subjective and objective evaluation data of drivers,this paper combined experimental design,experimental process and experimental data processing results to carry out fitting correction to the H-point position and backrest angle of drivers.The results show that different from the H point position adjustment curve recommended in SAE J1517 standard,the H point position curve and its envelope region obtained in this paper can represent the appropriate H point position of most drivers in a smaller area.In addition,the GA-BP neural network was used to construct a driver comfort prediction model by comprehensively considering the driver’s body pressure information,joint Angle information and other characteristic parameters.The driver’s physiological recognition and comfortable driving posture arrangement method can automatically provide the driver with automatic and comfortable seat adjustment services.While correcting the driver’s poor sitting posture,it can also improve the driver’s car use efficiency and safety.