Smart Body Posture Guidance System 
Anitha.J1, Dhivya. D2, Harishma.S3, Mythili.N4
1Dr. J. Anitha*, Associate Professor, Department of Information Technology, Sri Ramakrishna Engineering College, Coimbatore, India.
2D. Dhivya, Department of Information Technology, Sri Ramakrishna Engineering College, Coimbatore, India.
3S. Harishma, Department of Information Technology, Sri Ramakrishna Engineering College, Coimbatore, India.
4N. Mythili, Department of Information Technology, Sri Ramakrishna Engineering College, Coimbatore, India.
Manuscript received on June 08, 2020. | Revised Manuscript received on June 25, 2020. | Manuscript published on June 30, 2020. | PP: 1264-1266 | Volume-9 Issue-5, June 2020. | Retrieval Number: E1168069520/2020©BEIESP | DOI: 10.35940/ijeat.E1168.069520
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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.
Keywords: Body Keypoints, Deep Learning, GUI, Health Kiosk.