AKTIVES: A physiological signal database of children with neurodevelopmental disorders for stress recognition
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'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 c' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Children with Neurodevelopmental Disorders","Emotion Recognition","Game Therapy","Physiological Signals","Stress Recognition"]} <|eot_id|>
 Here is the Description of a dataset. Description:'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 c' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
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 c
Children with Neurodevelopmental Disorders; Emotion Recognition; Game Therapy; Physiological Signals; Stress Recognition