Human behaviour has been researched for decades using the traditional survey, ethnographic, and interview techniques of sociology, psychology and anthropology. While these tools have provided significant insight into human behaviour, they have a limited temporal and spatial fidelity, and are subject to observer bias. We have developed and deployed measurement tools and analysis algorithms to utilize the rich data available from modern portable sensors, providing complementary data to traditional sources. Our primary suite of tools, known as iEpi, was initially developed for acquiring health behavioural data as input to ground epidemiological models. However, the type of data necessary for epidemiology can be utilized in many different research areas.