UniDataPro/gesture-recognition

该数据集包含10,000多个视频，展示了5种不同的手势：一、四、小、拳头和我。它帮助研究人员研究手势识别，特别是手语和手势控制设备。数据集展示了不同个体执行手势的视频，允许分析不同人的手形、大小和动作差异。视频在最佳光照条件下以高分辨率录制，确保手势动作的清晰可见。该数据集对于开发和测试手势识别算法和分类方法特别有价值，可用于人机交互和虚拟现实等领域。

The dataset consists of over 10,000 videos featuring 5 distinct hand gestures: one, four, small, fist, and me. These videos aid in the study of gesture recognition, particularly for sign language and gesture-controlled devices. The dataset showcases different individuals performing gestures, which allows for the analysis of differences in hand shapes, sizes, and movements among various people. The videos are recorded under optimal lighting conditions and at high resolution, ensuring clear visibility of hand movements. The dataset is valuable for developing and testing gesture recognition algorithms and classification methods, applicable in fields such as human-computer interaction and virtual reality.