ITESO-MX-100

This research explores a novel mexican sign language lexicon video dataset containing the dynamical gestures most frequently used by MSL. Each gesture consists of a set of different versions of videos under uncontrolled conditions. MX-ITESO-100 data set is composed of a lexicon of 100 gestures and 5,000 videos from three participants with different grammatical elements. Additionally, the data set is evaluated in a two-step neural network model with 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 impairment本研究构建了一款新型墨西哥手语（Mexican Sign Language, MSL）词典视频数据集，收录了该语言中使用频率最高的动态手势。每个手势均包含多组在非受控环境下录制的不同版本视频片段。MX-ITESO-100数据集由100个手势词条构成，包含来自3名覆盖不同语法要素使用者的5000段视频素材。此外，该数据集已通过两步神经网络模型开展评估，准确率突破99%，可作为计算机视觉系统中机器学习模型后续训练的基准数据集。最后，本研究为社会，尤其是各类组织机构中的听障人士打造了更具包容性的环境。