Activity recognition of railway passengers by fusion of low-power sensors in mobile phones
Moustafa Elhamshary, Moustafa A. Youssef, Akira Uchiyama, Hirozumi Yamaguchi, Teruo Higashino · 2015
We present PassActiv, a mobile sensing system for the automatic activity recognition of railway passengers. Our key observations show that certain passengers' activities (e.g., purchasing tickets, etc) present identifiable signatures on one or more cell-phone sensors which can be leveraged to automatically recognize those activities. Evaluation of PassActiv through a field experiment in major train and subway stations in Japan shows that PassActiv can detect different activities accurately with at most 3% false positive rate and 4% false negative rate for all types of passengers' activities.