Abstract
Bad sitting posture is harmful to human health. Intelligent sitting posture recognition algorithm can remind people to correct their sitting posture. In this paper, a sitting pressure image acquisition system was designed. With the system, we innovatively proposed a hip positioning algorithm based on hip templates. The average deviation of the algorithm for hip positioning is 1.306 pixels (the equivalent distance is 1.50 cm), and the proportion of the maximum positioning deviation less than three pixels is 94.1%. Statistics show that the algorithm works relatively well for different subjects. At the same time, the algorithm can not only effectively locate the hip position with a small rotation angle (0°–15°), but also has certain adaptability to the sitting posture with a medium rotation angle (15°–30°) or a large rotation angle (30°–45°). Using the hip positioning algorithm, the regional pressure values of the left hip, right hip and caudal vertebrae are effectively extracted as the features, and support vector machine (SVM) with polynomial kernel is used to classify the four types of sitting postures, with a classification accuracy of up to 89.6%.
Highlights
IntroductionMore people work in office chairs. There are some health risks associated with this way of working, such as lumbar diseases [1], which are easy to cause because people tend to neglect their sitting posture when they focus on their work.an algorithm which can intelligently recognize and provide feedback on human sitting posture is increasingly valuable.At present, there are three main ways of sitting posture recognition, which are based on machine vision [2,3,4,5], wearable motion sensors [6,7,8,9] and external pressure sensors [10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25]. machine vision technology has achieved great success in the field of posture recognition [26], it is difficult to work normally in situations with many obstacles
As society develops, more people work in office chairs
We innovatively proposed a hip positioning algorithm based on hip templates
Summary
More people work in office chairs. There are some health risks associated with this way of working, such as lumbar diseases [1], which are easy to cause because people tend to neglect their sitting posture when they focus on their work.an algorithm which can intelligently recognize and provide feedback on human sitting posture is increasingly valuable.At present, there are three main ways of sitting posture recognition, which are based on machine vision [2,3,4,5], wearable motion sensors [6,7,8,9] and external pressure sensors [10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25]. machine vision technology has achieved great success in the field of posture recognition [26], it is difficult to work normally in situations with many obstacles. There are three main ways of sitting posture recognition, which are based on machine vision [2,3,4,5], wearable motion sensors [6,7,8,9] and external pressure sensors [10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25]. External pressure sensors do not have the problems mentioned above They can collect signals from the human body by being mounted on a chair. It can be inferred that sitting posture recognition technology based on external pressure sensors has greater application prospects
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