Although they've made advancements in sensor technologies, current smart city systems make little attempt to collect subjective data from humans. This can be overcome by exploiting the concept of humans as sensors, letting people become integral to the decision-making chain by providing their thoughts, feelings, and general feedback on how they interact with their city and, more importantly, how city services affect their lives. A significant challenge of operating applications in smart cities, however, is achieving interoperability and easily accessible application support without modifying the hardware and software already available, which slows the development and deployment process. In designing a solution to support the objectives described, the authors thus harnessed open source technologies, with the expectation that these are readily usable with systems in existence and are therefore easy to integrate into today's smart city technology fabric.
Data visualization,Smart cities,Human factors,Emotion recognition,Sensors,Mood