Development and application of emotion recognition technology — a systematic literature review

Development and application of emotion recognition technology — a systematic literature review

2024 | Runfang Guo, Hongfei Guo, Liwen Wang, Mengmeng Chen, Dong Yang, Bin Li
This study conducts a comprehensive review of the developments in emotion recognition technology over the past decade, focusing on its practical applications in hospitals and home environments. The review aims to gain insights into the trends and real-world effects of emotion recognition technology by examining its practical applications in different settings. The study follows the Preferred Reporting Items for Systematic Reviews (PRISMA) guidelines and includes a search of four electronic databases: PubMed, Web of Science, Google Scholar, and IEEE Xplore. The quality of the studies is assessed using the Critical Appraisal Skills Programme (CASP) criteria. The review identifies three main impacts of emotion recognition technology: 1. **Remote Emotion Recognition and Treatment**: The advancement of emotion recognition technology has facilitated remote emotion recognition and treatment by healthcare professionals in hospital and home environments. 2. **Shift from Subjective to Objective Methods**: There has been a shift from traditional subjective emotion assessment methods to multimodal emotion recognition methods grounded in objective physiological signals, enhancing the accuracy of medical diagnosis. 3. **Real-Time Emotion Monitoring**: The evolving relationship between emotions and disease throughout diagnosis, intervention, and treatment processes holds clinical significance for real-time emotion monitoring. The study concludes that the integration of emotion recognition technology with intelligent devices has led to the development of application systems and models that provide technological support for the recognition and intervention of emotions. However, continuous recognition of emotional changes in dynamic or complex environments remains a focal point of future research.This study conducts a comprehensive review of the developments in emotion recognition technology over the past decade, focusing on its practical applications in hospitals and home environments. The review aims to gain insights into the trends and real-world effects of emotion recognition technology by examining its practical applications in different settings. The study follows the Preferred Reporting Items for Systematic Reviews (PRISMA) guidelines and includes a search of four electronic databases: PubMed, Web of Science, Google Scholar, and IEEE Xplore. The quality of the studies is assessed using the Critical Appraisal Skills Programme (CASP) criteria. The review identifies three main impacts of emotion recognition technology: 1. **Remote Emotion Recognition and Treatment**: The advancement of emotion recognition technology has facilitated remote emotion recognition and treatment by healthcare professionals in hospital and home environments. 2. **Shift from Subjective to Objective Methods**: There has been a shift from traditional subjective emotion assessment methods to multimodal emotion recognition methods grounded in objective physiological signals, enhancing the accuracy of medical diagnosis. 3. **Real-Time Emotion Monitoring**: The evolving relationship between emotions and disease throughout diagnosis, intervention, and treatment processes holds clinical significance for real-time emotion monitoring. The study concludes that the integration of emotion recognition technology with intelligent devices has led to the development of application systems and models that provide technological support for the recognition and intervention of emotions. However, continuous recognition of emotional changes in dynamic or complex environments remains a focal point of future research.
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Understanding Development and application of emotion recognition technology %E2%80%94 a systematic literature review