Exploring a Computer Vision and Artificial Intelligence-based Approach to Sit-and-reach Distance Measurement

Abstract

The key technique of sit-and-reach distance measurement in this study mainly consists of two stages: the first stage is the initial calibration of the test site, including camera calibration, identification and calibration of the test site identification points and finger key points; the second stage is the distance measurement stage, including the calculation of the coordinates of the finger tip to the scale projection point of the suspended distance measurement and the calculation of the conversion distance of the projection point. After the validity test of ranging, the error was 0. 148cm with standard deviation of 0.118, maximum value of 0.495, and minimum value of 0.002 for 90 experiments, which proved that the research results had high ranging accuracy. Since this study uses a common webcam, the method is easy to be widely used.