CRAWDAD dataset tecnalia/humanet (v. 2012-06-12)

Our study analyzes the limitations of Bluetooth-based trace acquisition
initiatives carried out until now in terms of granularity and reliability. We
then go on to propose an optimal configuration for the acquisition of
proximity traces and movement information using a fine-tuned Bluetooth system
based on custom HW. With this system and based on such a configuration, we
have carried out an intensive human trace acquisition experiment resulting in
a proximity and mobility database of more than 5 million traces with a minimum
granularity of 5 s.