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 …

Multi-Modal Pain Intensity Recognition Based on the SenseEmotion Database

P Thiam, V Kessler, M Amirian… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
The subjective nature of pain makes it a very challenging phenomenon to assess. Most of
the current pain assessment approaches rely on an individual's ability to recognise and …

[HTML][HTML] Classification networks for continuous automatic pain intensity monitoring in video using facial expression on the X-ITE Pain Database

E Othman, P Werner, F Saxen, A Al-Hamadi… - Journal of Visual …, 2023 - Elsevier
So far, the current methods in the clinical application do not facilitate continuous monitoring
for pain and are unreliable, especially for vulnerable patients. In contrast, several automated …

Two-stream attention network for pain recognition from video sequences

P Thiam, HA Kestler, F Schwenker - Sensors, 2020 - mdpi.com
Several approaches have been proposed for the analysis of pain-related facial expressions.
These approaches range from common classification architectures based on a set of …

An automatic system for continuous pain intensity monitoring based on analyzing data from uni-, bi-, and multi-modality

E Othman, P Werner, F Saxen, MA Fiedler… - Sensors, 2022 - mdpi.com
Pain is a reliable indicator of health issues; it affects patients' quality of life when not well
managed. The current methods in the clinical application undergo biases and errors; …

Multi-classifier-systems: architectures, algorithms and applications

P Bellmann, P Thiam, F Schwenker - Computational Intelligence for Pattern …, 2018 - Springer
In this work multi-classifier-systems (MCS) are discussed. Several fixed and trainable
aggregation rules are presented. The most famous examples of MCS, namely bagging and …

Development of a hierarchical dynamic keyboard character recognition system using trajectory features and scale-invariant holistic modeling of characters

S Misra, RH Laskar - Journal of Ambient Intelligence and Humanized …, 2019 - Springer
A robust, intuitive, effortless, and novel dynamic hand gesture based virtual keyboard system
is developed in this study. Firstly, a new hierarchical approach is applied, which, based on …

Multi-modal data fusion for pain intensity assessment and classification

P Thiam, F Schwenker - 2017 Seventh International …, 2017 - ieeexplore.ieee.org
In this work, an assessment of several fusion architectures is undertaken within the scope of
the development of a pain intensity classification system. The assessment is based on the …

Pain recognition with camera photoplethysmography

V Kessler, P Thiam, M Amirian… - … Conference on Image …, 2017 - ieeexplore.ieee.org
In the last years a lot of effort was made in predicting the heart rate of a participant with
remote Photo-plethysmography (rPPG) from the video channel but only few authors used it …

Multimodal fusion including camera photoplethysmography for pain recognition

V Kessler, P Thiam, M Amirian… - 2017 International …, 2017 - ieeexplore.ieee.org
The research in classifying affective states of a participant provided a great amount of
feature extraction methods in several modalities like facial motion, speech, biophysiological …