ArticleSensors (Basel, Switzerland)2019
A Case Study of Facial Emotion Classification Using Affdex.
Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Development of a Universal Validation Protocol and an Open-Source Database for Multi-Contextual Facial Expression Recognition.Sensors (Basel, Switzerland) · 2023Article
- Identification of heart rate change during the teaching process.Scientific reports · 2023Article
- Identifying and describing subtypes of spontaneous empathic facial expression production in autistic adults.Journal of neurodevelopmental disorders · 2022Article
- Negative Mood States Are Related to the Characteristics of Facial Expression Drawing: A Cross-Sectional Study.Frontiers in psychology · 2020Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This paper focuses on the analysis of reactions captured by the face analysis system. The experiment was conducted on a sample of 50 university students. Each student was shown 100 random images and the student´s reaction to every image was recorded. The recorded reactions were subsequently compared to the reaction of the image that was expected. The results of the experiment have shown several imperfections of the face analysis system. The system has difficulties classifying expressions and cannot detect and identify inner emotions that a person may experience when shown the image. Face analysis systems can only detect emotions that are expressed externally on a face by physiological changes in certain parts of the face.
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Registered trials
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