Activity recognition approaches for smart cities: The City4Age use case
Aitor Almeida, Gorka Azkune · 2017 IEEE 3rd International Forum on Research and Technologies for Society and Industry (RTSI) · 2017
Activity Recognition is an important ingredient that allows the interpretation of elementary data. Understanding which activity is going on allows framing an elementary action (e.g. “a movement”) in a proper context. This paper presents an activity recognition system designed to work in urban scenarios, which impose several restrictions: the unfeasibility of having enough annotated datasets, the heterogeneous sensor infrastructures and the presence of very different individuals. The main idea of our system is to combine knowledge- and data-driven techniques, to build a hybrid and scalable activity recognition system for smart cities.