A Smart Virtual Tutor with Facial Emotion Recognition for Online Learning

Suddul, Geerish; Lillmond, Chandesh; Armoogum, Sandhya

doi:10.1109/zinc55034.2022.9840683

Cited by 4 publications

(8 citation statements)

References 12 publications

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“…Sentiment analysis and linguistic analysis are common approaches. Facial expression analysis involves using computer vision techniques to recognize and analyze facial expressions in images or videos [71]. Facial expression analysis is a valuable method for assessing emotions noninvasively.…”

Section: ]mentioning

confidence: 99%

“…[62], [68], [71] Behavioral Observations Systematic observation of actions, facial expressions, and verbal cues to infer emotions and traits.…”

Section: Surveys and Questionnairesmentioning

confidence: 99%

“…[64], [65], [71], [72] Textual Data Analysis Analyzing social media posts or written text to extract emotional content and personality traits using NLP.…”

Section: Surveys and Questionnairesmentioning

confidence: 99%

“…Facial Expression Analysis Using computer vision techniques to recognize and analyze facial expressions in images or video. [71] Experimental Tasks and Games Designed tasks to elicit speci c emotional responses in controlled settings.…”

Section: Surveys and Questionnairesmentioning

confidence: 99%

“…Regression analysis is used to explore relationships between personality traits or emotional states and other variables. For example, it can be used to examine how personality traits predict speci c behaviors or outcomes [71].…”

Section: Mobile Applications and Smart Devicesmentioning

confidence: 99%

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Systematic Mapping Study of Tools to Identify Emotions and Personality Traits

Islam,

Noor,

Rahman

2024

Preprint

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Emotions and personality traits profoundly influence human behavior and well-being. Recent advancements in computer-based tools utilizing machine learning techniques have opened new avenues for identifying and understanding these psychological aspects in individuals. This systematic mapping study comprehensively reviews research articles from reputable journals, focusing on tools that leverage various data sources, such as text analysis, face recognition, gestures, and heart rate monitoring. The selected papers underwent rigorous analysis, leading to the categorization of identified tools based on their methodologies, objectives, and application domains. Natural language processing techniques were found to excel in capturing emotions from textual data, while deep learning models demonstrated accuracy in face recognition. Machine learning algorithms showed promise in analyzing gestures and heart rate to understand personality traits and emotional responses. However, the study also highlights the importance of validation standardization and large-scale studies across diverse populations to enhance the reliability and effectiveness of these tools.

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Section: ]mentioning

confidence: 99%

“…[62], [68], [71] Behavioral Observations Systematic observation of actions, facial expressions, and verbal cues to infer emotions and traits.…”

Section: Surveys and Questionnairesmentioning

confidence: 99%

“…[64], [65], [71], [72] Textual Data Analysis Analyzing social media posts or written text to extract emotional content and personality traits using NLP.…”

Section: Surveys and Questionnairesmentioning

confidence: 99%

Section: Surveys and Questionnairesmentioning

confidence: 99%

Section: Mobile Applications and Smart Devicesmentioning

confidence: 99%

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