Theoretical design for using wearable devices to measure local happiness

Wearable devices are becoming very popular. They are present in sports, general activities, everyday life, etc. generating gradually new data. However, few applications are benefited by this new flood of data. This paper suggests an application based on data generated by wearable devices, which could result in significant improvement to better understand the individual and his life conditions. In this context, if a system can understand what type of data is being sensed and merges them with different data sources, it can provide a wide perspective and bring benefits to the population. For this reason, this study highlights the importance of fused data and suggests an application that will use data coming from wearable devices combined with different data sources in order to extract relevant information. By investigating this topic, meaningful applications could arise helping users achieve better planning, forecasting and decision making.