美国手语动作识别训练数据集
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美国手语动作识别训练数据集_American_Sign_Language_Action_Recognition_Training_Dataset 数据来源：互联网公开数据 标签：手语识别, 动作识别, 机器学习, 计算机视觉, 时序数据, 姿态估计, 数据集构建, 深度学习 数据概述： 该数据集包含来自美国手语(ASL)视频数据，记录了各种手语动作的姿态信息，用于训练和评估手语动作识别模型。主要特征如下： 时间跨度：数据未明确标注时间范围，可视为静态数据集。 地理范围：数据来源于美国手语，涵盖了美国文化背景下的手语动作。 数据维度：数据集包括由.npy文件存储的特征数据(X_472.npy, X_708.npy等)，以及对应的标签数据(y.npy)，并提供了CSV文件(train_prepared.csv)用于关联视频文件路径，参与者信息，手语动作标签，以及折叠信息。 数据格式：数据以.csv和.npy格式提供，.csv文件包含动作的元数据，如参与者ID，序列ID，手语动作名称等，.npy文件包含了提取的姿态特征。 数据用途概述： 该数据集具有广泛的应用潜力，特别适用于以下场景： 研究与分析：适用于手语识别、动作识别、计算机视觉等领域的研究，如手语翻译、手语教学、人机交互等。 行业应用：可用于开发手语辅助工具、手语翻译软件、智能手语学习系统等。 决策支持：支持聋哑人社区的沟通交流，促进社会包容性和无障碍沟通。 教育和培训：作为计算机视觉、机器学习、人工智能等相关课程的实训素材，帮助学生理解和应用动作识别技术。 此数据集特别适合用于训练和评估ASL动作识别模型，探索不同手语动作的特征表示和分类方法，并构建实际的手语辅助应用。
American Sign Language Action Recognition Training Dataset Data source: publicly available data from the Internet Labels: sign language recognition, action recognition, machine learning, computer vision, time-series data, pose estimation, dataset construction, deep learning Data Overview: This dataset contains American Sign Language (ASL) video data, which records pose information of various sign language gestures, and is used for training and evaluating sign language action recognition models. The main features are as follows: - Time span: No explicit time range is labeled for the data, which can be considered as a static dataset. - Geographic scope: The data originates from American Sign Language, covering sign language gestures under the American cultural context. - Data dimensions: The dataset includes feature data stored in .npy files (such as X_472.npy, X_708.npy, etc.) and corresponding label data (y.npy). A CSV file (train_prepared.csv) is also provided to associate video file paths, participant information, sign language action labels and fold information. - Data format: The data is provided in .csv and .npy formats. The .csv file contains action metadata such as participant ID, sequence ID, sign language action name, etc., while the .npy files contain extracted pose features. Data Usage Overview: This dataset has broad application potential and is particularly suitable for the following scenarios: 1. Research and analysis: Applicable to research in fields such as sign language recognition, action recognition and computer vision, such as sign language translation, sign language teaching, human-computer interaction and so on. 2. Industrial applications: Can be used to develop sign language assistance tools, sign language translation software, intelligent sign language learning systems and other applications. 3. Decision support: Support communication in the deaf community, and promote social inclusiveness and barrier-free communication. 4. Education and training: As practical training materials for courses related to computer vision, machine learning, artificial intelligence and other fields, helping students understand and apply action recognition technology. This dataset is particularly suitable for training and evaluating ASL action recognition models, exploring feature representation and classification methods for different sign language gestures, and building practical sign language assistance applications.
