AKTIVES: A physiological signal database of children with neurodevelopmental disorders for stress recognition

This is a supplementary repository for the AKTIVES Dataset 2022 presented in the article titled "AKTIVES: A physiological signal database of children with neurodevelopmental disorders for stress recognition". The AKTIVES dataset is 5.41 GB in size. In the dataset, there are four disease categories in the first index. These categories are Brachial Plexus, Dyslexia, Intellectual Disabilities, and Typically Developed. There are two children in the Brachial Plexus category, five children in the Dyslexia category, eight in the Intellectual Disabilities category, and ten in the Typically Development category. CatchAPet and LeapBall game folders are in the children's folders in each category. Then there are 7 files belonging to the child in both game folders. There are 14 files for a child in total. These files have the following content: Three label files: Label files annotated by each expert. The files are named "ExpertNumber.csv" and the data is in csv format. Video file: Contains video footage recorded during the game. It is in mp4 format. Game file: There are game-related parameters collected during the game. It is stored in json format. E4 file: It is the file where the physiological data collected from the E4 device is stored while children play the serious game. It is stored in txt format. The E4.txt files include acceleration data with E4_Acc abbreviation, Blood Volume Pulse (BVP) data with E4_Bvp abbreviation, Electrodermal Activity (EDA) with E4_Gsr abbreviation, Skin Temperature (ST) data with E4_Temperature abbreviation, Interbeat Interval (IBI) data with E4_ibi abbreviation and Heart Rate (HR) data with E4_Hr abbreviation. Facial expression files: These are csv files that include each child's automatically detected facial expressions. Note: Video footage can only be used for analysis purposes and must not be shared anywhere. The use of the AKTIVES dataset is limited to the academic research purposes only. The data will be made available after completing the End User License Agreement (EULA). The EULA is located in the dataset repository in EULA_AKTIVES.pdf. It should be signed and emailed to [e-mail].本仓库为发表于论文《AKTIVES：用于压力识别的神经发育障碍儿童生理信号数据库》的2022版AKTIVES数据集（AKTIVES Dataset）的补充仓库。AKTIVES数据集总容量为5.41 GB。该数据集的一级分类包含四类疾病组别，分别为臂丛神经损伤（Brachial Plexus）、诵读困难症（Dyslexia）、智力障碍（Intellectual Disabilities）以及典型发育儿童组（Typically Developed）。其中臂丛神经损伤组包含2名受试儿童，诵读困难症组包含5名受试儿童，智力障碍组包含8名受试儿童，典型发育儿童组包含10名受试儿童。每个类别下的受试儿童文件夹中均包含CatchAPet与LeapBall两款游戏文件夹。每名儿童在两款游戏的文件夹中各拥有7个文件，单名儿童总计拥有14个数据文件。各类文件的内容说明如下：1. 标签文件：共计3份，由每位专家独立标注的标签数据文件，文件命名格式为“ExpertNumber.csv”，数据格式为逗号分隔值（CSV）。2. 视频文件：存储游戏过程中录制的影像素材，格式为MP4。3. 游戏参数文件：存储游戏过程中采集的相关游戏参数，格式为JSON。4. E4设备数据文件：存储受试儿童在游玩严肃游戏期间由E4生理采集设备获取的生理信号数据，文件格式为TXT。该类文件（命名为E4.txt）包含以下几类数据：以E4_Acc为缩写标识的加速度数据、以E4_Bvp为缩写标识的血容量脉搏（Blood Volume Pulse, BVP）数据、以E4_Gsr为缩写标识的皮肤电活动（Electrodermal Activity, EDA）、以E4_Temperature为缩写标识的皮肤温度（Skin Temperature, ST）数据、以E4_ibi为缩写标识的心动间期（Interbeat Interval, IBI）数据，以及以E4_Hr为缩写标识的心率（Heart Rate, HR）数据。5. 面部表情文件：存储每名儿童经自动检测得到的面部表情数据的CSV文件。注意事项：视频影像素材仅可用于学术分析用途，严禁在任何平台进行传播分享。AKTIVES数据集仅可用于学术研究范畴。使用者需签署并完成最终用户许可协议（End User License Agreement, EULA）后方可获取该数据集。该协议文件EULA_AKTIVES.pdf存于数据集仓库中，签署完成后需发送至邮箱[e-mail]。