Prajod et al., 2024 - Google Patents

Faces of Experimental Pain: Transferability of Deep-Learned Heat Pain Features to Electrical Pain

Prajod et al., 2024

View PDF
Document ID
10694403494569506585
Author
Prajod P
Schiller D
Don D
André E
Publication year
Publication venue
2024 12th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)

External Links

Snippet

The limited size of pain datasets is a challenge in developing robust deep-learning models for pain recognition. Transfer learning approaches are often employed in these scenarios. In this study, we investigate whether deep-learned feature representation for one type of …
Continue reading at arxiv.org (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00221Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
    • G06K9/00268Feature extraction; Face representation
    • G06K9/00281Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/34Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
    • G06F19/345Medical expert systems, neural networks or other automated diagnosis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/32Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6267Classification techniques
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46Extraction of features or characteristics of the image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00362Recognising human body or animal bodies, e.g. vehicle occupant, pedestrian; Recognising body parts, e.g. hand
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235Details of waveform analysis
    • A61B5/7264Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0012Biomedical image inspection
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/22Health care, e.g. hospitals; Social work
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/04Detecting, measuring or recording bioelectric signals of the body of parts thereof
    • A61B5/0476Electroencephalography
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/40Detecting, measuring or recording for evaluating the nervous system
    • A61B5/4076Diagnosing or monitoring particular conditions of the nervous system

Similar Documents

Publication Publication Date Title
Tan et al. A multimodal emotion recognition method based on facial expressions and electroencephalography
Prajod et al. Faces of Experimental Pain: Transferability of Deep-Learned Heat Pain Features to Electrical Pain
Giannakakis et al. Automatic stress analysis from facial videos based on deep facial action units recognition
Vyas et al. Recognition of atypical behavior in autism diagnosis from video using pose estimation over time
Heiderich et al. Face-based automatic pain assessment: challenges and perspectives in neonatal intensive care units
Del Coco et al. Study of mechanisms of social interaction stimulation in autism spectrum disorder by assisted humanoid robot
US20230309915A1 (en) System and method for attentional multimodal pain estimation
Carlini et al. A convolutional neural network-based mobile application to bedside neonatal pain assessment
Vashishth et al. Exploring the role of computer vision in human emotion recognition: A systematic review and meta-analysis
Gaber et al. Comprehensive assessment of facial paralysis based on facial animation units
Ribeiro et al. Stimming behavior dataset-unifying stereotype behavior dataset in the wild
Lin et al. vEpiNet: A multimodal interictal epileptiform discharge detection method based on video and electroencephalogram data
Xia et al. Identifying children with autism spectrum disorder via transformer-based representation learning from dynamic facial cues
Saher et al. A Deep Learning-Based Automated Approach of Schizophrenia Detection from Facial Micro-Expressions.
Li et al. Automatic pain assessment based on physiological signals: Application of multi-scale networks and cross-attention cross-attention
Singh et al. Prediction of pain intensity using multimedia data
Das et al. A spatio-temporal approach for apathy classification
Rodrigues et al. Identification of Parkinson’s disease through facial image classification: a systematic review
Xu et al. ADReFV: Face video dataset based on human‐computer interaction for Alzheimer's disease recognition
Alhamdoosh et al. Pain Level Estimation from Videos by Analyzing the Dynamics of Facial Landmarks with a Spatio-Temporal Graph Neural Network
Reddy et al. Using generative adversarial networks and ensemble learning for multi-modal medical image fusion to improve the diagnosis of rare neurological disorders
Tyagi et al. Emotionomics: pioneering depression detection through facial expression analytics
Tandon et al. Enhancing Early Autism Prediction Using Machine Learning Techniques
Abulail et al. Real-Time Detection and Analysis of Facial Movement Disorders Using MediaPipe and OpenCV: A Streamlit-Based Framework
Yan et al. Neonatal pain facial expression recognition based on spatio-temporal interactive triple-stream transformer network