基于L2范数正则化的印度语静态双手手势迁移学习

2020 IEEE 9th International Conference on Communication Systems and Network Technologies (CSNT) Pub Date : 2020-04-01 DOI:10.1109/CSNT48778.2020.9115767

Mohita Jaiswal, Vaidehi Sharmay, Abhishek Sharmaz, Raghuvir Tomar

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引用次数: 2

摘要

基于视觉的手势语识别得到了研究者的广泛关注[1]，[2]，[3]。这项技术为听障人士和声障人士提供了一种交流媒介。在手语识别领域，一些作者使用硬编码算法，如边缘检测[4]，一些研究使用基于人工智能的算法来提高现有实现的性能。

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Transfer Learning with L2 Norm Regularization for classifying static Two Hand Hindi Sign Language Gestures

Vision Based hand sign language recognition has gained wide attention among the researchers [1], [2], [3]. This technique serves as a medium of communication for hearing-disabled and vocally-impaired people. In the domain of sign language recognition, some authors used hard code algorithms like edge detection[4] and some investigated the use of AI-based algorithms to improve performance of existing implementations.

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2020 IEEE 9th International Conference on Communication Systems and Network Technologies (CSNT)

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