# Study and Survey on Gesture Recognition Systems

arXiv: https://arxiv.org/abs/2312.00392 · HTML: https://mlsanity.com/paper/2312.00392/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 9 of its 29 references that are in the map.
- First posted on arXiv 1 Dec 2023.

## Builds on (most cited first, 9 of 9)

- [Two-Stream Network for Sign Language Recognition and Translation](https://mlsanity.com/paper/2211.01367/) (2022)
- [Transferring Cross-domain Knowledge for Video Sign Language Recognition](https://mlsanity.com/paper/2003.03703/) (2020)
- [SignBERT: Pre-Training of Hand-Model-Aware Representation for Sign Language Recognition](https://mlsanity.com/paper/2110.05382/) (2021)
- [Natural Language-Assisted Sign Language Recognition](https://mlsanity.com/paper/2303.12080/) (2023)
- [Construct Dynamic Graphs for Hand Gesture Recognition via Spatial-Temporal Attention](https://mlsanity.com/paper/1907.08871/) (2019)
- [CNN+RNN Depth and Skeleton based Dynamic Hand Gesture Recognition](https://mlsanity.com/paper/2007.11983/) (2020)
- [Unified Learning Approach for Egocentric Hand Gesture Recognition and Fingertip Detection](https://mlsanity.com/paper/2101.02047/) (2021)
- [Micro Hand Gesture Recognition System Using Ultrasonic Active Sensing](https://mlsanity.com/paper/1712.00216/) (2017)
- [Sign Languague Recognition without frame-sequencing constraints: A proof of concept on the Argentinian Sign Language](https://mlsanity.com/paper/2310.17437/) (2023)

## Abstract (arXiv)

In recent years, there has been a considerable amount of research in the Gesture Recognition domain, mainly owing to the technological advancements in Computer Vision. Various new applications have been conceptualised and developed in this field. This paper discusses the implementation of gesture recognition systems in multiple sectors such as gaming, healthcare, home appliances, industrial robots, and virtual reality. Different methodologies for capturing gestures are compared and contrasted throughout this survey. Various data sources and data acquisition techniques have been discussed. The role of gestures in sign language has been studied and existing approaches have been reviewed. Common challenges faced while building gesture recognition systems have also been explored.