L Shreya

Papers

Total Citations

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About

L Shreya is a researcher in computer vision and deep learning, with a focused interest in human action recognition—a challenging domain that involves interpreting and classifying human activities from video data. Her major contribution lies in developing a novel approach that integrates Mediapipe, a framework for pose estimation, with Long Short-Term Memory (LSTM) networks to decode human stance and movement information. This work, published in 2023, has garnered 2 citations, marking an early but promising impact in the field. By leveraging Mediapipe to extract skeletal keypoints and LSTM to model temporal dynamics, Shreya’s method offers a computationally efficient and accurate solution for recognizing actions, addressing key limitations in traditional video-based systems. Her research is particularly notable for its practical applicability in areas like surveillance, healthcare, and human-computer interaction. As an emerging scholar, Shreya’s work lays a strong foundation for advancing real-time action recognition systems, and her contributions are poised to influence future developments in deep learning-driven computer vision.