Facial emotion recognition could have broad applications across health care, education, marketing, transportation, and entertainment. It might be used to help monitor patients remotely or in overstretched hospitals or emergency response settings, or patients unable to communicate well for any number of reasons. It could be used to personalize learning, allowing a computerized training system to respond more appropriately to the user. Similarly, such a system could improve customer service and might even be used to create immersive entertainment experiences.
Machine learning approach enhances emotion detection accuracy
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