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              <text>Human Body Pose Estimation and Applications</text>
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              <text>2D pose estimation; 3D pose estimation; Body modelling; Holistic Pipeline estimation; MediaPipe; Sign language recognition</text>
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              <text>Human Pose Estimation is one of the challenging yet broadly researched areas. Pose estimation is required in applications that include human activity detection, fall detection, motion capture in AR/VR, etc. Nevertheless, images and videos are required for every application that captures images using a standard RGB camera, without any external devices. This paper presents a real-time approach for sign language detection and recognition in videos using the Holistic pose estimation method of MediaPipe. This Holistic framework detects the movements of multiple modalities-facial expression, hand gesture and body pose, which is the best for the sign language recognition model. The experiment conducted includes five different signers, signing ten distinct words in a natural background. Two signs, 'blank' and 'sad, ' were best recognized by the model.  2021 IEEE.</text>
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              <text>Amrutha K.; Prabu P.; Paulose J.</text>
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              <text>3rd IEEE International Virtual Conference on Innovations in Power and Advanced Computing Technologies, i-PACT 2021</text>
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              <text>Institute of Electrical and Electronics Engineers Inc.</text>
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              <text>2021-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1109/i-PACT52855.2021.9696513" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/i-PACT52855.2021.9696513&lt;/a&gt;
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              <text>ISBN: 978-166542691-6</text>
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              <text>Amrutha K., CHRIST (Deemed to Be University), Dept. of Computer Science, Bengaluru, India; Prabu P., CHRIST (Deemed to Be University), Dept. of Computer Science, Bengaluru, India; Paulose J., CHRIST (Deemed to Be University), Dept. of Computer Science, Bengaluru, India</text>
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