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We are working on the problem of outdoor activity recognition, for this purpose, we need to test our approaches using a dataset that contains users'(pedestrian) mobility traces, we need both the continuous fine-grained GPS points recorded by every minute for example and the geo-position of visited places.
After some research, I have checked for GeoLife Projet and the datasets found here : crawdad.org/keyword-GPS.html. However, these datasets don't contain the geo-position of visited places.
What I need is the GPS recordings of a person or more, as in (latitude, longitude, date) tuples, tracked for a while (a minimum of one month of users' mobilities) and the visited real visited places reported by the user.
أكثر...
We are working on the problem of outdoor activity recognition, for this purpose, we need to test our approaches using a dataset that contains users'(pedestrian) mobility traces, we need both the continuous fine-grained GPS points recorded by every minute for example and the geo-position of visited places.
After some research, I have checked for GeoLife Projet and the datasets found here : crawdad.org/keyword-GPS.html. However, these datasets don't contain the geo-position of visited places.
What I need is the GPS recordings of a person or more, as in (latitude, longitude, date) tuples, tracked for a while (a minimum of one month of users' mobilities) and the visited real visited places reported by the user.
أكثر...