Human Body Pose Estimation and Applications

Title

Human Body Pose Estimation and Applications

Creator

Amrutha K.; Prabu P.; Paulose J.

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.

Source

3rd IEEE International Virtual Conference on Innovations in Power and Advanced Computing Technologies, i-PACT 2021

Date

2021-01-01

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

2D pose estimation; 3D pose estimation; Body modelling; Holistic Pipeline estimation; MediaPipe; Sign language recognition

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

Rights

Restricted Access

Relation

ISBN: 978-166542691-6

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/i-PACT52855.2021.9696513

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126453325&doi=10.1109%2fi-PACT52855.2021.9696513&partnerID=40&md5=d7ea29ab5d02bdae574b893dd4d1c6fe