Action Recognition for American Sign Language

Autor:	Phong, Nguyen Huu, Ribeiro, Bernardete
Rok vydání:	2022
Předmět:	Computer Science - Computer Vision and Pattern Recognition Computer Science - Machine Learning
Zdroj:	RECPAD 2017
Druh dokumentu:	Working Paper
Popis:	In this research, we present our findings to recognize American Sign Language from series of hand gestures. While most researches in literature focus only on static handshapes, our work target dynamic hand gestures. Since dynamic signs dataset are very few, we collect an initial dataset of 150 videos for 10 signs and an extension of 225 videos for 15 signs. We apply transfer learning models in combination with deep neural networks and background subtraction for videos in different temporal settings. Our primarily results show that we can get an accuracy of $0.86$ and $0.71$ using DenseNet201, LSTM with video sequence of 12 frames accordingly. Comment: 2 pages
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2205.12261 Zobrazit plný text záznamu View this record from Arxiv