Scopus

LISINet: A lightweight framework for Word-Level Sign Language

Năm XB 2026 Tạp chí / Hội thảo Advances in Information and Communication Technology: Proceedings of the 4th International Conference, ICTA 2025, Volume 2 Volume 2, pp. 535-544 Đơn vị ICTU DOI / Link https://link.springer.com/chapter/10.1007/978-3-032-18159-6_56 ↗

Tác giả

Tóm tắt

This paper presents LISINet, a lightweight yet effective model for word-level sign language recognition. The proposed architecture comprises three main components: a convolutional block for spatial feature extraction, an LSTM-based module for temporal feature...

Tài liệu tham khảo

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Ghi chú

Source ID: 297; Author classification: ICTU - CoAuthor; First listed author: Ha Manh Dung; Contact author: Duc-Quang Vu; Total authors: 3; Springer matched from provided ICTA 2025 volumes