Hand keypoints detection and pose estimation has numerous applications in\ncomputer vision, but it is still an unsolved problem in many aspects. An\napplication of hand keypoints detection is in performing cognitive assessments\nof a subject by observing the performance of that subject in physical tasks\ninvolving rapid finger motion. As a part of this work, we introduce a novel\nhand key-points benchmark dataset that consists of hand gestures recorded\nspecifically for cognitive behavior monitoring. We explore th…