Thinking FastAR: an augmented reality system for improving health decisions
نویسنده
چکیده
When faced with a decision, it is often difficult for people to choose the best option for their long term well-being. Augmented reality can enable users to see more than what is physically present. Here, I propose and demonstrate an augmented reality system that helps users make healthier choices. Using object recognition as a heuristic for decision recognition, the system guides the user toward objects that align with a user’s personalized health goals. The current implementation of this system involves predefined objects with hard coded health goals. For future work, recent advances in object recognition appear promising for a more universal version of the system, which will provide more flexibility and customization for users.
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