Research Papers
Peer-reviewed publications in IEEE conferences and international journals
Indian Sign Language Recognition in Real Time Using YOLO-NAS
R. Raj, R. Sreemathy, M. Turuk, J. Jagdale, and M. Anish
IEEE ICONAT
This paper presents a real-time Indian Sign Language recognition system using YOLO-NAS architecture for accurate and efficient gesture detection.
Performance Comparison of YOLO Versions for Real-Time ISL Captioning of Multiple Signers
R. Raj, R. Sreemathy, M. Turuk, J. Jagdale, and M. Anish
Procedia Computer Science
A comprehensive performance comparison of various YOLO versions for real-time Indian Sign Language captioning supporting multiple simultaneous signers.
Real-Time Dynamic Sign Language Recognition with MediaPipe, LSTM, and Dynamic Time Warping
R. Raj, R. Sreemathy, M. Turuk, and J. Jagdale
IEEE GITCON
A novel approach to real-time dynamic sign language recognition combining MediaPipe pose estimation, LSTM temporal modeling, and Dynamic Time Warping for robust gesture recognition.
Research Areas
Fields I am actively exploring and contributing to
Computer Vision
Real-time gesture recognition, pose estimation, and object detection using YOLO, MediaPipe, and OpenCV.
Sign Language AI
Bridging communication gaps with AI-powered sign language recognition and translation systems.
Generative AI
Creating lifelike avatars and animations using 2D/3D Stable Diffusion and diffusion models.
Deep Learning
LSTM networks, temporal modeling, and dynamic time warping for sequence recognition tasks.
Multimodal AI
Combining text, speech, and visual signals for holistic AI communication systems.
Edge AI & Deployment
Optimizing models for real-time inference using TensorRT, ONNX, and edge computing.