Posture Performance Analysis with Multiple Pressure Sensors

This paper aims to analyze in detail the postural performance of individuals using a mat equipped with multiple pressure sensors. By collecting foot pressure data, processing and analyzing these data with artificial intelligence algorithms, imbalances in the weight distribution and posture type of individuals will be detected. The study aims to provide a new method in the field of posture performance assessment and improvement. The use of multi-sensor data aims to provide more precise and reliable results than traditional analysis methods and to fill the gaps in the literature. The pressure sensors to be placed under the mat are optimized in a grid system and the data collected from this system is processed with the help of an electronic system. The electronic design allows analog data to be converted into digital format and transmitted to a workstation. The quality and accuracy of the data directly affects the success of artificial intelligence algorithms. Therefore, the data preprocessing step involves cleaning missing or erroneous data and combining information from different sensors using multi-sensor fusion techniques. Thus, the sensor placement and data processing processes are focused on improving the overall accuracy and portability performance of the system.