Hand Sign Recognition to Structured Sentences

Title

Hand Sign Recognition to Structured Sentences

Creator

Harchandani R.; Preethi N.; George J.P.

Description

Computer vision is not just a concept of deep learning; it has wide applications such as motion recognition, object recognition, video indexing, video media understanding, and recognition-based intelligence. -However, vision-based systems are a challenging field for research and accurate results. Recent areas of interest are human action recognition or human hands gesture recognition techniques using video data set, still, an image data set, spatiotemporal methods, features in RGB, deep learning methods. Hand action recognition has applications such as communication systems to shorten the bridge gap for people with speech disabilities by using a vision-based system to recognize hand sign language and convert it to text, forming structured sentences which will be easy to understand and communicate. 2023 IEEE.

Source

2023 9th International Conference on Advanced Computing and Communication Systems, ICACCS 2023, pp. 877-881.

Date

2023-01-01

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

Action recognition; and Realtime classification; Convolutional Neural Network; Deep learning; Depth data; video analytics

Coverage

Harchandani R., Christ (Deemed to Be University), Pune, Lavasa, India; Preethi N., Christ (Deemed to Be University), Pune, Lavasa, India; George J.P., Christ (Deemed to Be University), Pune, Lavasa, India

Rights

Restricted Access

Relation

ISBN: 979-835039737-6

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/ICACCS57279.2023.10112706

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