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@article{175224,
        author = {Kambam Sindhu and Dr. D Radhika},
        title = {Real-Time Emotion Detection For Enhancing Productivity In Working Professionals Through Live Monitoring},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {2142-2147},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=175224},
        abstract = {Human emotions have a significant impact on our relationships, thoughts, and production in day-to-day life. Our ability to observe things, make decisions, and deal with challenges is influenced by our emotions, and this has an impact on our performance in both our personal and professional life. Gaining insight into workers' emotional states at work can help you better understand their motivation, output, and overall health. Advances in machine learning and artificial intelligence have made it possible to identify, analyze, and understand human emotions in real time. As a result, there is now a greater comprehension of emotional patterns and their connection to workplace productivity. By combining facial expression detection with other methods, the system may detect subtle changes in emotions such as melancholy, contentment, etc., which are often linked to productivity levels. By monitoring these emotional cues, the technology can give businesses useful information to help them understand employee engagement, identify potential burnout, and foster a more positive work environment. The ultimate goal of integrating emotional intelligence into organizational strategies for productivity enhancement is to raise employee satisfaction and workplace performance.},
        keywords = {Emotion Detection, Facial Expression Recognition, Productivity Enhancement, Real-Time Monitoring, Machine Learning, Emotion Classification},
        month = {April},
        }