Deep learning algorithms for human activity recognition using mobile and wearable sensor networks: State of the art and research challenges
Human activity recognition systems are developed as part of a framework to enable
continuous monitoring of human behaviours in the area of ambient assisted living, sports …
continuous monitoring of human behaviours in the area of ambient assisted living, sports …
Automatic analysis of facial actions: A survey
As one of the most comprehensive and objective ways to describe facial expressions, the
Facial Action Coding System (FACS) has recently received significant attention. Over the …
Facial Action Coding System (FACS) has recently received significant attention. Over the …
Automatic recognition methods supporting pain assessment: A survey
Pain is a complex phenomenon, involving sensory and emotional experience, that is often
poorly understood, especially in infants, anesthetized patients, and others who cannot …
poorly understood, especially in infants, anesthetized patients, and others who cannot …
[HTML][HTML] Automatic assessment of pain based on deep learning methods: A systematic review
S Gkikas, M Tsiknakis - Computer methods and programs in biomedicine, 2023 - Elsevier
Abstract Background and Objective: The automatic assessment of pain is vital in designing
optimal pain management interventions focused on reducing suffering and preventing the …
optimal pain management interventions focused on reducing suffering and preventing the …
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 …
Pain assessment is usually done through self-reports. However, self-assessment of pain is …
Computational biology: deep learning
Deep learning is the trendiest tool in a computational biologist's toolbox. This exciting class
of methods, based on artificial neural networks, quickly became popular due to its …
of methods, based on artificial neural networks, quickly became popular due to its …
Mfa-net: Motion feature augmented network for dynamic hand gesture recognition from skeletal data
Dynamic hand gesture recognition has attracted increasing attention because of its
importance for human–computer interaction. In this paper, we propose a novel motion …
importance for human–computer interaction. In this paper, we propose a novel motion …
Deepsat v2: feature augmented convolutional neural nets for satellite image classification
Satellite image classification is a challenging problem that lies at the crossroads of remote
sensing, computer vision, and machine learning. Due to the high variability inherent in …
sensing, computer vision, and machine learning. Due to the high variability inherent in …
[HTML][HTML] Application of AI in multilevel pain assessment using facial images: systematic review and meta-analysis
J Huo, Y Yu, W Lin, A Hu, C Wu - Journal of Medical Internet Research, 2024 - jmir.org
Background The continuous monitoring and recording of patients' pain status is a major
problem in current research on postoperative pain management. In the large number of …
problem in current research on postoperative pain management. In the large number of …
Emopain challenge 2020: Multimodal pain evaluation from facial and bodily expressions
The EmoPain 2020 Challenge is the first international competition aimed at creating a
uniform platform for the comparison of multi-modal machine learning and multimedia …
uniform platform for the comparison of multi-modal machine learning and multimedia …