AIMC Topic: Handwriting

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Deep Convolutional Extreme Learning Machine and Its Application in Handwritten Digit Classification.

Computational intelligence and neuroscience Aug 17, 2016
In recent years, some deep learning methods have been developed and applied to image classification applications, such as convolutional neuron network (CNN) and deep belief network (DBN). However they are suffering from some problems like local minim...
Humans Machine Learning Algorithms Neural Networks, Computer Handwriting
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Regular expressions for decoding of neural network outputs.

Neural networks : the official journal of the International Neural Network Society Mar 25, 2016
This article proposes a convenient tool for decoding the output of neural networks trained by Connectionist Temporal Classification (CTC) for handwritten text recognition. We use regular expressions to describe the complex structures expected in the ...
Probability Information Storage and Retrieval Handwriting Humans Neural Networks, Computer
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Robot Guided 'Pen Skill' Training in Children with Motor Difficulties.

PloS one Mar 11, 2016
Motor deficits are linked to a range of negative physical, social and academic consequences. Haptic robotic interventions, based on the principles of sensorimotor learning, have been shown previously to help children with motor problems learn new mov...
Age Factors Robotics Motor Skills Handwriting Psychomotor Performance Child, Preschool Child Biomechanical Phenomena Male Humans Female
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Feature Set Evaluation for Offline Handwriting Recognition Systems: Application to the Recurrent Neural Network Model.

IEEE transactions on cybernetics Nov 6, 2015
The performance of handwriting recognition systems is dependent on the features extracted from the word image. A large body of features exists in the literature, but no method has yet been proposed to identify the most promising of these, other than ...
Humans Algorithms Databases, Factual Neural Networks, Computer Image Processing, Computer-Assisted Handwriting Pattern Recognition, Automated
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Bidirectional Active Learning: A Two-Way Exploration Into Unlabeled and Labeled Data Set.

IEEE transactions on neural networks and learning systems Feb 26, 2015
In practical machine learning applications, human instruction is indispensable for model construction. To utilize the precious labeling effort effectively, active learning queries the user with selective sampling in an interactive way. Traditional ac...
Generalization, Psychological Problem-Based Learning Handwriting Models, Theoretical Information Storage and Retrieval Humans Neural Networks, Computer Algorithms
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Stroke parameters identification algorithm in handwriting movements analysis by synthesis.

IEEE journal of biomedical and health informatics Apr 21, 2014
This paper presents a new approach to identify the stroke parameters in handwriting movement data understanding. A two-step analysis by synthesis paradigm is employed to facilitate the coarse-to-fine parameter identification for all strokes. One is t...
Pattern Recognition, Automated Humans Task Performance and Analysis Algorithms Sensitivity and Specificity Biometry Movement Reproducibility of Results Artificial Intelligence Hand Handwriting
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Artificial intelligence-supported occupational therapy program on handwriting skills in children at risk for developmental coordination disorder: Randomized controlled trial.

Research in developmental disabilities Jun 1, 2025
AIM: This study investigates the impact of an AI-supported occupational therapy program, developed using the Model of Human Occupation (MOHO), on handwriting skills in children at risk for Developmental Coordination Disorder (DCD).
Male Child Motor Skills Handwriting Occupational Therapy Artificial Intelligence Humans Female Motor Skills Disorders
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Major depressive disorder recognition based on electronic handwriting recorded in psychological tasks.

BMC medicine May 13, 2025
BACKGROUND: This study aimed to determine whether handwriting patterns are altered in individuals experiencing depressive episodes. Additionally, we developed a model for the recognition of major depressive disorder (MDD) based on electronic handwrit...
Machine Learning Female Young Adult Humans Depressive Disorder, Major Case-Control Studies Handwriting Adult Male
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A new network structure for Parkinson's handwriting image recognition.

Medical engineering & physics May 1, 2025
Parkinson's disease (PD) remains a condition without a cure, though its early manifestations can be managed effectively by medical professionals. This underscores the significance of early detection of PD. It has been widely demonstrated that handwri...
Humans Image Processing, Computer-Assisted Neural Networks, Computer Parkinson Disease Handwriting
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Handwritten Data Extraction Using OpenAI ChatGPT4o and Robotic Process Automation.

Studies in health technology and informatics Nov 22, 2024
This paper proposes to create an Robotic Process Automation style application that can digitalize and extract data from handwritten medical forms. The RPA robot uses OpenAI ChatGPT4o model to extract handwritten medical data and transform it into typ...
Electronic Health Records Robotics Information Storage and Retrieval Humans Machine Learning Handwriting
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