ArticleSensors (Basel, Switzerland)2017
Towards Building a Computer Aided Education System for Special Students Using Wearable Sensor Technologies.
Article in Sensors (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Wearable Biosensor Technology in Education: A Systematic Review.Sensors (Basel, Switzerland) · 2024Pooled it
- A Review of AI Cloud and Edge Sensors, Methods, and Applications for the Recognition of Emotional, Affective and Physiological States.Sensors (Basel, Switzerland) · 2022Review
- Machine Learning Algorithms for Detection and Classifications of Emotions in Contact Center Applications.Sensors (Basel, Switzerland) · 2022Article
- Lightweight Building of an Electroencephalogram-Based Emotion Detection System.Brain sciences · 2020Article
- Brain Activity during Different Throwing Games: EEG Exploratory Study.International journal of environmental research and public health · 2020Article
- Human Emotion Recognition: Review of Sensors and Methods.Sensors (Basel, Switzerland) · 2020Review
- Impact of Physiological Signals Acquisition in the Emotional Support Provided in Learning Scenarios.Sensors (Basel, Switzerland) · 2019Article
- Monitoring Student Activities with Smartwatches: On the Academic Performance Enhancement.Sensors (Basel, Switzerland) · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Human computer interaction is a growing field in terms of helping people in their daily life to improve their living. Especially, people with some disability may need an interface which is more appropriate and compatible with their needs. Our research is focused on similar kinds of problems, such as students with some mental disorder or mood disruption problems. To improve their learning process, an intelligent emotion recognition system is essential which has an ability to recognize the current emotional state of the brain. Nowadays, in special schools, instructors are commonly use some conventional methods for managing special students for educational purposes. In this paper, we proposed a novel computer aided method for instructors at special schools where they can teach special students with the support of our system using wearable technologies.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.