Keypoints-Based Multi-Cue Feature Fusion Network (MF-Net) for Action Recognition of ADHD Children in TOVA Assessment

Attention deficit hyperactivity disorder (ADHD) is a prevalent neurodevelopmental disorder among children and adolescents. Behavioral detection and analysis play a crucial role in ADHD diagnosis and assessment by objectively quantifying hyperactivity and impulsivity symptoms. Existing video-based action recognition algorithms focus on object or interpersonal interactions, they may overlook ADHD-specific behaviors. Current keypoints-based algorithms, although effective in attenuating…

via https://pubmed.ncbi.nlm.nih.gov/39768028/?utm_source=no_user_agent&utm_medium=rss&utm_campaign=None&utm_content=1lqZ3NPYysePVKsoyz66mDSgu4veDGJwnUBS47TBQPoOuNZY5J&fc=None&ff=20250111011008&v=2.18.0.post9+e462414


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