Handwritten optical character recognition (OCR): A comprehensive systematic literature review (SLR)

J Memon, M Sami, RA Khan, M Uddin - IEEE access, 2020 - ieeexplore.ieee.org
Given the ubiquity of handwritten documents in human transactions, Optical Character
Recognition (OCR) of documents have invaluable practical worth. Optical character …

Automatic recognition methods supporting pain assessment: A survey

P Werner, D Lopez-Martinez, S Walter… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Pain is a complex phenomenon, involving sensory and emotional experience, that is often
poorly understood, especially in infants, anesthetized patients, and others who cannot …

Deep pain: Exploiting long short-term memory networks for facial expression classification

P Rodriguez, G Cucurull, J Gonzàlez… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
Pain is an unpleasant feeling that has been shown to be an important factor for the recovery
of patients. Since this is costly in human resources and difficult to do objectively, there is the …

Enhanced deep learning algorithm development to detect pain intensity from facial expression images

G Bargshady, X Zhou, RC Deo, J Soar… - Expert systems with …, 2020 - Elsevier
Automated detection of pain intensity from facial expressions, especially from face images
that show a patient's health, remains a significant challenge in the medical diagnostics and …

Recurrent convolutional neural network regression for continuous pain intensity estimation in video

J Zhou, X Hong, F Su, G Zhao - Proceedings of the IEEE …, 2016 - cv-foundation.org
Automatic pain intensity estimation possesses a significant position in healthcare and
medical field. Traditional static methods prefer to extract features from frames separately in a …

Automatic detection of pain from facial expressions: a survey

T Hassan, D Seuß, J Wollenberg… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Pain sensation is essential for survival, since it draws attention to physical threat to the body.
Pain assessment is usually done through self-reports. However, self-assessment of pain is …

A review of automated pain assessment in infants: features, classification tasks, and databases

G Zamzmi, R Kasturi, D Goldgof, R Zhi… - IEEE reviews in …, 2017 - ieeexplore.ieee.org
Bedside caregivers assess infants' pain at constant intervals by observing specific
behavioral and physiological signs of pain. This standard has two main limitations. The first …

Vision-based patient monitoring: a comprehensive review of algorithms and technologies

S Sathyanarayana, RK Satzoda… - Journal of Ambient …, 2018 - Springer
Vision-based monitoring for assisted living is gaining increasing attention, especially in multi-
modal monitoring systems owing to the several advantages of vision-based sensors. In this …

A novel machine learning based framework for detection of autism spectrum disorder (ASD)

H Sharif, RA Khan - Applied Artificial Intelligence, 2022 - Taylor & Francis
ABSTRACT Autism Spectrum Disorder (ASD) is linked with abridged ability in social
behavior. Scientists working in the broader domain of cognitive sciences have done a lot of …

Computer aided pain detection and intensity estimation using compact CNN based fusion network

A Semwal, ND Londhe - Applied Soft Computing, 2021 - Elsevier
Pain is an indication of uneasiness, and its assessment is crucial for medical diagnosis and
treatment of patients. Subjective methods like visual inspection and self-report of pain, are …