探索一种新颖的墨西哥手语词汇视频数据集

IF 2.4 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Multimodal Technologies and Interaction Pub Date : 2023-08-19 DOI:10.3390/mti7080083
Víctor Martínez-Sánchez, Iván Villalón-Turrubiates, Francisco Cervantes-Álvarez, C. Hernández-Mejía
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引用次数: 0

摘要

本研究探索了一个新的墨西哥手语(MSL)词汇视频数据集,其中包含了MSL中最常用的动态手势。在不受控制的条件下,每个手势都由一组不同版本的视频组成。MX-ITESO-100数据集由100个手势和5000个视频组成,这些视频来自三个参与者,具有不同的语法元素。此外,该数据集在两步神经网络模型中被评估为具有大于99%的准确性,因此可以作为计算机视觉系统中机器学习模型未来训练的基准。最后,这项研究为社会和组织提供了一个包容的环境,特别是对听力障碍的人。
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Exploring a Novel Mexican Sign Language Lexicon Video Dataset
This research explores a novel Mexican Sign Language (MSL) lexicon video dataset containing the dynamic gestures most frequently used in MSL. Each gesture consists of a set of different versions of videos under uncontrolled conditions. The MX-ITESO-100 dataset is composed of a lexicon of 100 gestures and 5000 videos from three participants with different grammatical elements. Additionally, the dataset is evaluated in a two-step neural network model as having an accuracy greater than 99% and thus serves as a benchmark for future training of machine learning models in computer vision systems. Finally, this research provides an inclusive environment within society and organizations, in particular for people with hearing impairments.
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来源期刊
Multimodal Technologies and Interaction
Multimodal Technologies and Interaction Computer Science-Computer Science Applications
CiteScore
4.90
自引率
8.00%
发文量
94
审稿时长
4 weeks
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