Human Body Pose Estimation and Applications
subject: 2D pose estimation; 3D pose estimation; Body modelling; Holistic Pipeline estimation; MediaPipe; Sign language recognition
description: 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.
creator: Amrutha K.; Prabu P.; Paulose J.
source: 3rd IEEE International Virtual Conference on Innovations in Power and Advanced Computing Technologies, i-PACT 2021
publisher: Institute of Electrical and Electronics Engineers Inc.
date: 2021-01-01
rights: Restricted Access
relation: ISBN: 978-166542691-6
format: Online
language: English
type: Conference paper
coverage: 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