What is How Normal Am I?
How Normal Am I is an educational art project created by Tijmen Schep with support from the European Union's Sherpa research program. The platform demonstrates the capabilities and implications of facial detection algorithms in modern society through an interactive experience.
The tool utilizes various machine learning models to analyze facial features, providing insights into how automated systems evaluate characteristics such as beauty, age, gender, BMI, and life expectancy. Importantly, all processing occurs locally in the user's browser, ensuring complete privacy with no personal data transmitted to external servers.
Features
- Local Processing: All face detection algorithms run directly in the browser
- Privacy Focus: No personal data collection or external data transmission
- Multi-Factor Analysis: Evaluates beauty, age, gender, BMI, and life expectancy
- Interactive Experience: Real-time facial analysis with user feedback
- Educational Component: Demonstrates real-world applications of facial detection
Use Cases
- Educational demonstrations about facial recognition technology
- Privacy awareness training
- Understanding algorithmic bias
- Digital rights education
- Technology ethics discussions
FAQs
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Is my personal data collected or stored?
No, all facial detection algorithms run locally in your browser, and no personal data is sent to any servers. -
Which browsers are supported on iPhone and iPad?
On iPhone and iPad, the experience only works in the Safari browser as Apple restricts camera access in other browsers. -
What types of characteristics does the tool analyze?
The tool analyzes beauty, age, gender, BMI, life expectancy, facial expressions, and interaction patterns.
