Abstract

Studies have shown that more than half of older adults consume less nutrients than required. Therefore it is important for the elderly to consume products with high nutrition density and avoid unhealthy food. However, many older adults lack awareness of what is considered healthy or unhealthy. The aim of this paper is to develop an app that helps seniors make the right decisions in supermarkets. By using their smartphone camera older adults can detect groceries and the app can display nutrition and other important factors. For development, design principles and guidelines were indetified to ensure an intuitive user interface. Additionally, state of the art object detection models were compared to choose the one best suited for the task of detecting groceries. The development section discusess challenges, issues and reasoning behind design choices. And it is specified how augmented reality, machine learning and gamification were combined to create a functional user experience. Finally, an online study with the target group was conducted to get feedback on usability and functionality.

Results/Implementation/Project Description

Conclusion

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