Food Nutrition Visualization on Google Glass: Design Tradeoff and Field Evaluation
Haotian Jiang, James Starkman, Menghan Liu, Ming-Chun Huang · IEEE Consumer Electronics Magazine · 2018
Acquiring nutritional information before buying and eating food is crucial for making healthier choices and more educated selections. Therefore, there is a demand for electronic devices that can automatically access nutrition information. To help with this, we propose a novel augmented reality (AR)-based wearable food-monitoring system to make food nutritional information available and visible in real-life scenarios, such as at the supermarket. It combines reverse image search (RIS) and text mining to recognize the food, and then it retrieves nutritional information from a remote database. For userfriendliness, the information is overlaid on a live feed from a front-facing camera.