A survey of visual and procedural handwriting analysis for neuropsychological assessment
Abstract To date, Artificial Intelligence systems for handwriting and drawing analysis have
primarily targeted domains such as writer identification and sketch recognition. Conversely …
primarily targeted domains such as writer identification and sketch recognition. Conversely …
OBGESS: Automating Original Bender Gestalt Test Based on One Stage Deep Learning
Hand sketch psychological data are mysterious and can be used to detect mental disorders
early and prevent them from getting worse and with irreversible consequences. The Original …
early and prevent them from getting worse and with irreversible consequences. The Original …
Convolutional neural networks for detection of hand-written drawings
SE Valenzuela, JB Calabrese… - 2020 IEEE …, 2020 - ieeexplore.ieee.org
Convolutional Neural Networks (CNN) have been used since the late 80's. Nevertheless,
until the 2000's when they begun to be popular for image classification tasks, thanks to the …
until the 2000's when they begun to be popular for image classification tasks, thanks to the …
CBTnet: A Capsule Network Classifier Based on B-Tree Structure for Hand Sketch Drawings
Classifying hand sketch drawings need an accurate classifier with low cost for the training
phase. We proposed an accurate object detector based on modified YOLOV5 to detect nine …
phase. We proposed an accurate object detector based on modified YOLOV5 to detect nine …