What question did this study set out to answer?

To provide an extensive review of sign language recognition systems, assessing key modalities, datasets, and barriers to the creation of generic real-time models.

April 7, 2022Open Access

A Comprehensive Review of Sign Language Recognition: Different Types, Modalities, and Datasets

View Full Paper

Ask AI

Bookmark

Authors

MMManoharan MadhiarasanAarhus University PRProf. Partha Pratim Roy

Discussion

Member takes

Implication

Comprehensive review outlines technical modalities and datasets in sign language recognition, highlighting challenges for generic real-time model development.

Key Points

To provide an extensive review of sign language recognition systems, assessing key modalities, datasets, and barriers to the creation of generic real-time models.
Reviewed literature and state-of-the-art sign language recognition models published over the past decade.
Categorized existing systems by manual and non-manual features, input modalities, and benchmark datasets.
Identified environmental interference, background clutter, and variable image resolution as primary factors degrading recognition performance.
Highlighted critical research gaps across existing datasets and proposed architectural strategies for robust real-time recognition models.

Cite This Study

Madhiarasan et al. (2022) studied this question.

synapsesocial.com/papers/6a7e83b1358787acda4f740e https://doi.org/10.48550/arxiv.2204.03328

View Full Paper

Ask AI

Bookmark

Implication

Comprehensive review outlines technical modalities and datasets in sign language recognition, highlighting challenges for generic real-time model development.

A Comprehensive Review of Sign Language Recognition: Different Types, Modalities, and Datasets

Discussion

Member takes

Implication

Key Points

Cite This Study

A Comprehensive Review of Sign Language Recognition: Different Types, Modalities, and Datasets

Discussion

Member takes

Implication

Key Points

Cite This Study

Also Consider

Also Consider