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 …

Multiple-instance learning for medical image and video analysis

G Quellec, G Cazuguel, B Cochener… - IEEE reviews in …, 2017 - ieeexplore.ieee.org
Multiple-instance learning (MIL) is a recent machine-learning paradigm that is particularly
well suited to medical image and video analysis (MIVA) tasks. Based solely on class labels …

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 …

Not made for each other-audio-visual dissonance-based deepfake detection and localization

K Chugh, P Gupta, A Dhall… - Proceedings of the 28th …, 2020 - dl.acm.org
We propose detection of deepfake videos based on the dissimilarity between the audio and
visual modalities, termed as the Modality Dissonance Score (MDS). We hypothesize that …

A survey on computer vision for assistive medical diagnosis from faces

J Thevenot, MB López, A Hadid - IEEE journal of biomedical …, 2017 - ieeexplore.ieee.org
Automatic medical diagnosis is an emerging center of interest in computer vision as it
provides unobtrusive objective information on a patient's condition. The face, as a mirror of …

Automatic pain assessment with facial activity descriptors

P Werner, A Al-Hamadi… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
Pain is a primary symptom in medicine, and accurate assessment is needed for proper
treatment. However, today's pain assessment methods are not sufficiently valid and reliable …

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 …

The automatic detection of chronic pain-related expression: requirements, challenges and the multimodal EmoPain dataset

MSH Aung, S Kaltwang… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
Pain-related emotions are a major barrier to effective self rehabilitation in chronic pain.
Automated coaching systems capable of detecting these emotions are a potential solution …

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 …

Lomo: Latent ordinal model for facial analysis in videos

K Sikka, G Sharma, M Bartlett - Proceedings of the IEEE …, 2016 - openaccess.thecvf.com
We study the problem of facial analysis in videos. Our first contribution is a novel weakly
supervised learning method that models the video event (pain, expression etc.) as a …