# SLRNet: A Real-Time LSTM-Based Sign Language Recognition System

arXiv: https://arxiv.org/abs/2506.11154 · HTML: https://mlsanity.com/paper/2506.11154/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 1 of its 5 references that are in the map.
- First posted on arXiv 11 Jun 2025.

## Builds on (most cited first, 1 of 1)

- [Sign Language Recognition System using TensorFlow Object Detection API](https://mlsanity.com/paper/2201.01486/) (2022)

## Abstract (arXiv)

Sign Language Recognition (SLR) plays a crucial role in bridging the communication gap between the hearing-impaired community and society. This paper introduces SLRNet, a real-time webcam-based ASL recognition system using MediaPipe Holistic and Long Short-Term Memory (LSTM) networks. The model processes video streams to recognize both ASL alphabet letters and functional words. With a validation accuracy of 86.7%, SLRNet demonstrates the feasibility of inclusive, hardware-independent gesture recognition.