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EmotionSense Pro is a Chrome extension designed for Google Meet that uses AI to detect real-time emotions and cognitive states without sending data to external servers. It provides valuable insights into participant engagement, attention levels, and emotional dynamics, making it ideal for UX researchers, recruiters, educators, and remote teams seeking ethical, local emotion analytics. The tool offers features like facial emotion detection, cognitive state analysis, emotion timelines, and session reports to enhance communication and understanding in virtual meetings.
## How to Use
To use EmotionSense Pro, first, install the extension from the Chrome Web Store with one click. Next, join any Google Meet call. Grant camera access when prompted, as all processing happens locally on your device for privacy. Finally, receive real-time emotional analysis and feedback directly within your Google Meet interface to better understand conversation dynamics and engagement.
EmotionSense Pro's
## Key Features
- Real-time emotional & cognitive feedback - 100% Local Processing (Privacy Focused) - Facial Emotion Detection (Happy, sad, angry, fearful, surprised, neutral, disgusted, frustration) - Cognitive State Analysis (Attentiveness, confusion, engagement, fatigue, confidence, motivation) - Emotion Timeline & Journey Mapping - Session Reports & Smart Analytics - Duchenne Smile Analysis - Micro-Expression Capture - Speech Emotion Analysis - Smart Break Recommendations
## Use Cases
- UX Researchers: Gain deeper insights into user reactions during user testing sessions without intrusive methods. - Recruiters & HR: Enhance interview assessments with objective emotional data during remote candidate interviews. - Educators: Monitor student engagement in remote learning environments and adapt teaching styles accordingly. - Remote Teams: Improve team communication by understanding emotional context in virtual team meetings. - Business Professionals: Enhance presentation delivery and improve meeting engagement. - Researchers & Academics: Conduct educational effectiveness studies and human-computer interaction research.
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