Abstract
Body posture plays a crucial role in the measurement of body vitals. Accurate measurement of blood pressure, body weight, etc. requires correct posture which greatly affects the result. To achieve the correct posture the person has to depend on the lab technician, who helps the person to sit in the correct pose, to place the cuff in the right place to measure blood pressure, to stand in the correct pose to measure body weight, etc. To eliminate the need for lab technician, we develop a system, to capture image and recognize the pose using a camera, image processing using pose estimation algorithm, guide the person to correct if the recognized pose is incorrect using a User Interface developed using pyqt. The pose estimation algorithm works by estimating and connecting the body keypoints. Hence we are creating a prototype model for real time pose estimation and guidance.
Highlights
Smart body posture guidance system recognizes the human body by estimating the body keypoints, based on deep learning
Smart body posture guidance system is mainly developed to sit in a right posture while measuring blood pressure, which plays a vital role in the accuracy of the result, without the help of lab technician
Smart body posture guidance system is developed to eliminate the need for lab technician to help us while measuring blood pressure, weight, etc
Summary
Smart body posture guidance system recognizes the human body by estimating the body keypoints, based on deep learning. The system makes use of images captured by the camera which is integrated to the system.Body point based posture analysis is the state of art for posture recognition. Deep learning models trained on key point estimation are used for understanding the complex poses exhibited during different activities with ease. These models are trained on 3-D triangulation from multiple single views, there enabling them the capability to handle occlusion. The correct body posture is essential in accurate estimation of body vitals like BP measurement. With the rapid development of virtual reality, augmented reality, and interactive multimedia, human-computer interaction (HCI) technology is in higher demand than ever before
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