The following is the 2022 human posture estimation technology and use cases From MobiDev recommended by recordtrend.com. And this article belongs to the classification: Consumer research, research report.
Human posture estimation is a technology based on computer vision, which can recognize and classify specific points on the human body. These points represent our limbs and joints to calculate bending angles and estimate human posture.
What is human posture estimation?
Human posture estimation (HPE) is a task in computer vision, which focuses on identifying the position of human body in a specific scene. Most HPE methods are based on using optical sensors to record RGB images to detect body parts and overall posture. This can be combined with other computer vision technologies for fitness and rehabilitation, augmented reality applications and monitoring.
There are three common types of human models: bone based model, contour based model and volume based model. Skeleton based model has become the most commonly used model in human posture estimation because of its flexibility. This is because it consists of a group of joints, such as ankles, knees, shoulders, elbows, wrists, and limb directions that form the skeletal structure of the human body.
Working principle of 3D human posture estimation
The whole process of body posture estimation system starts from capturing the initial data and uploading it for system processing. When dealing with motion detection, we need to analyze a series of images rather than static photos. Because we need to extract how the key points in the motion mode change. After the image is uploaded, the HPE system will detect and track the key points required for analysis.
Real time 3D human posture estimation
Whether we deal with fitness applications, rehabilitation applications, masks or monitoring, we all need real-time processing. Of course, the performance of the model will depend on the selected algorithm and hardware, but most existing open source models provide a considerable response time. In the opposite case, accuracy will be affected.
Human posture estimation use case
HPE can be considered as a quite mature technology, because it is applied in fitness, rehabilitation, augmented reality, animation, games, robots and even monitoring and other application fields.
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