Engagnition: 自闭症谱系障碍儿童参与度识别的多维数据集

数据集获取（Figshare）

• 源站标题：Engagnition: A multi-dimensional dataset for engagement recognition of children with autism spectrum disorder
• DOI：10.6084/m9.figshare.24305908.v1
• 发布日期：2024-03-14
• 文件数：1 个
• 文件总体积：10.28 MB
• 源站页面：https://springernature.figshare.com/articles/dataset/Engagnition_A_multi-dimensional_dataset_for_engagement_recognition_of_children_with_autism_spectrum_disorder/24305908

命令行下载

curl -L -o "Engagnition Dataset.zip" "https://ndownloader.figshare.com/files/42663733"

文件清单

• Engagnition Dataset.zip（10.28 MB）

文件总体积 10.28 MB（源站 API 实测）。

数据加载示例（图像类）

from PIL import Image
import glob, os

files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)

# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path)  # 要求 子目录=类别

目录组织与标注格式以源站说明和下载后实际文件为准。

数据说明

Engagement plays a key role in improving the cognitive and motor development of children with autism spectrum disorder (ASD). Sensing and recognizing their engagement is crucial before sustaining and improving the engagement. Engaging technologies involving interactive and multi-sensory stimuli have improved engagement and alleviated hyperactive and stereotyped behaviors. However, due to the scarcity of data on engagement recognition for children with ASD, limited access to and small pools of participants, and the prohibitive application requirements such as robots, high cost, and expertise, implementation in real world is challenging. However, serious games have the potential to overcome those drawbacks and are suitable for practical use in the field. This study proposes Engagnition, a dataset for engagement recognition of children with ASD (N = 57) using a serious game, “Defeat the Monster,” based on enhancing recognition and classification skills. The dataset consists of physiological and behavioral responses, annotated by experts. For technical validation, we report the distributions of engagement and intervention, and the signal-to-noise ratio of physiological signals.

许可

CC0

引用

学术使用请引用 DOI 10.6084/m9.figshare.24305908.v1（source: https://springernature.figshare.com/articles/dataset/Engagnition_A_multi-dimensional_dataset_for_engagement_recognition_of_children_with_autism_spectrum_disorder/24305908）。