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EDBL - algorithm for detection and analysis of emotion using body language
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/j.neunet.2008.05.003openalex-snapshot
Recognizing emotions expressed by body pose: A biologically inspired neural model
inferredcites →https://doi.org/10.1016/s0031-3203(02)00052-3openalex-snapshot
Automatic facial expression analysis: a survey
inferredcites →https://doi.org/10.1016/s1071-5819(03)00047-8openalex-snapshot
To feel or not to feel: The role of affect in human–computer interaction
inferredcites →https://doi.org/10.1023/b:visi.0000042934.15159.49openalex-snapshot
Pictorial Structures for Object Recognition
inferredcites →https://doi.org/10.1109/79.911197openalex-snapshot
Emotion recognition in human-computer interaction
inferredcites →https://doi.org/10.1109/cvpr.2011.5995519openalex-snapshot
Learning hierarchical poselets for human parsing
inferredcites →https://doi.org/10.1109/cvpr.2013.471openalex-snapshot
MODEC: Multimodal Decomposable Models for Human Pose Estimation
inferredcites →https://doi.org/10.1109/t-c.1973.223602openalex-snapshot
The Representation and Matching of Pictorial Structures
inferredcites →https://doi.org/10.1177/1362361308097118openalex-snapshot
Emotion recognition in faces and the use of visual context Vo in young people with high-functioning autism spectrum disorders
inferredcites →https://doi.org/10.2307/1422356openalex-snapshot
The Expression of Emotions in Man and Animals
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4820875openalex-extracted
Stress Detection:Detecting, Monitoring, and Reducing Stress in Cyber-Security Operation Centers Using Facial Expression Recognition Software
inferred← citeshttps://doi.org/10.1007/978-3-319-49655-9_51openalex-snapshot
Emotion Recognition in the Wild: Results and Limitations from Active and Healthy Ageing Cases in a Living Lab
inferred← citeshttps://doi.org/10.1108/sr-11-2019-0274openalex-snapshot
Affective actions recognition in dyadic interactions based on generative and discriminative models
inferred← citeshttps://doi.org/10.1109/access.2022.3193941openalex-snapshot
Digital Twin Model: A Real-Time Emotion Recognition System for Personalized Healthcare
inferred← citeshttps://doi.org/10.1109/cscwd.2019.8791920openalex-snapshot
A Multi-Featured Analysis for Body Sensor Networks-based Affective Actions Recognition
inferred← citeshttps://doi.org/10.1109/icecet63943.2025.11472331openalex-snapshot
Personality and Soft Skills Analysis System for Job Recruitment Using VR Technology
inferred← citeshttps://doi.org/10.1109/mass62177.2024.00066openalex-snapshot
SensEmo: Enabling Affective Learning through Real-time Emotion Recognition with Smartwatches
inferred← citeshttps://doi.org/10.1145/3503161.3548363openalex-snapshot
Bodily Behaviors in Social Interaction
inferred← citeshttps://doi.org/10.1145/3776574.3831116openalex-snapshot
Pre-processing Techniques for Multimodal Affective Computing: Implications for Data Quality and Multimodal Fusion
inferred← citeshttps://doi.org/10.3233/shti230422openalex-snapshot
Automated Emotion Recognition System Using Blood Volume Pulse and XGBoost Learning
inferred← citeshttps://doi.org/10.46759/iijsr.2023.7310openalex-snapshot
Design of Emotion Based Face Recognition System Using Convolutional Neural Networks
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