Human body sitting posture detection method based on depth camera

Abstract

The invention discloses a human body sitting posture detection method based on a depth camera, and relates to the field of image processing. The method comprises the following steps that a depth imageand a color image of a back area of a human body are acquired, a foreground area of an image is acquired by combining the depth image and the color image, and whether the sitting posture of the humanbody is correct or not is calculated by the partial area of the foreground area, so that the purpose of the invention is achieved. According to the non-contact type sitting posture monitoring methodbased on the machine vision, human back data is collected by means of the depth camera, images can be obtained in real time through a sitting posture monitoring algorithm, sitting posture monitoring is completed in a full-automatic mode, and when the sitting posture is abnormal, computer-side human-computer interaction software reminds a user to correct the sitting posture in time. A sitting posture of the person is closely related to the spine state, so that the collected back data is most accurate to analyze the sitting posture, and meanwhile, the privacy problem caused by the collection ofhuman face information can be avoided.

Description

technical field [0001] The invention relates to the field of human body posture monitoring, in particular to a non-contact human body posture monitoring system. Background technique [0002] In recent years, people spend more and more time sitting and standing, and many people spend more than 6 hours sitting and standing every day. Sitting for too long and with incorrect posture will cause fatigue in the cervical and lumbar spine. If things go on like this, it will cause cervical and lumbar diseases. According to statistics, more and more people are troubled by cervical spondylosis and lumbar diseases. [0003] At present, the monitoring of sitting posture at home and abroad is mainly divided into two ways. The first is the contact sitting posture detection method. This method uses sensors, pressure sensors, gyroscopes, etc. to collect sensor signals when the human body is sitting and standing, and obtains the sitting and standing posture of the person after signal proces...

AI Technical Summary

Problems solved by technology

[0004] The contact sitting posture detection method needs to use a combination of multiple sensors. The sensors are distributed on the back and buttocks of the human body. After processing the raw data of the sensors through an external circuit, it is then transmitted to the host for sitting posture detection. The overall structure is relatively complicated.

The detection method of machine vision uses the camera to collect data, and then transfers the data to the computer for algorithm processing. It does not require external circuits, so the overall structure is relatively simple, but the collection of facial information may easily cause users to worry about privacy issues.

Images