Missing Phone Activity Detection Using LSTM Classifier

We propose a smart phone application that aids a user to find his lost phone. In this application, we try to find the cases, where a mobile can be separated from the user, by training a classifier. The application identifies specific events, where a mobile phone goes away from the user, thus recording cumulative sensor data. The obtained sensor data can be used for further analysis of mobile phone surroundings which could narrow down the search domain. A more trivial example would be that GPS couldn’t help when you forgot, where the phone has been placed. So, the application can gather the information of surroundings at the last recognized event and make the search more effective.