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Emotion-Based Image Analyzers

Clean the Sky - Positive Eco Trends & Breakthroughs

This Website Can Decipher Emotions from Basic Photographs

— November 13, 2015 — Tech
The 'Project Oxford' initiative has developed intuitive software that can decipher emotions from images. The first installment of Microsoft's Project Oxford claimed to know a person's real age simply by looking at their photo. Now the technology is being used to decode emotions.

Project Oxford operates as an online tool that can be used to decipher emotions. To use the program, users simply submit a photo. The software will locate all of the faces in the photo and then scan for eight basic emotions. These emotions include everything from anger and contempt to happiness and surprise. The software then scores each face based on how much of each emotion is displayed.

While the program may seem slightly frivolous, the technology actually demonstrates how quickly and accurately software can learn and quantify intangible qualities such as emotion.
Trend Themes
1. Emotion Recognition Software - The development of emotion recognition software offers disruptive innovation opportunities in areas such as customer feedback analysis and personalized marketing.
2. Facial Emotion Analysis - The advancement in facial emotion analysis technology creates opportunities for industries such as market research, advertising, and mental health.
3. Intangible Quality Quantification - The ability to quantify intangible qualities like emotion opens up innovative possibilities in fields like user experience design and human-computer interaction.
Industry Implications
1. Market Research - Emotion recognition software can revolutionize market research by providing real-time insights into consumer sentiments and preferences.
2. Advertising - Facial emotion analysis can enhance advertising campaigns by delivering targeted messages that resonate with consumers' emotional responses.
3. Mental Health - The application of emotion recognition software in mental health can improve diagnosis and treatment plans by analyzing patients' facial expressions and emotional states.
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