Abstract: Provided are methods and devices for determining a stop period of a mobile device in a location, according to geolocation data available on the mobile device. A predicted position of the mobile device and an associated level of uncertainty related to the predicted position is determined according to either the current position of the mobile device if it is available, or, if not, according to an artificial position obtained from a previously known position of the mobile device. The mobile device is considered to be in a stop period if the normalized prediction error between the predicted position and either the current position or the artificial position, depending on the situation, is smaller than a prediction error threshold. Upon detection of a stop period, an action on the mobile device is triggered.

Abstract: Provided are means for identifying stop periods of a device in a location. A method for identifying the stop periods may be performed by a mobile device and involve during a first step, determining a predicted position of the mobile device, according to a new filtered position obtained using a discrete-time Kalman Filter. The method may also involve during a second step, determining a normalized prediction error according to the difference between the new predicted position and the first position. If the normalized prediction error is smaller than a prediction error threshold, generating a stop message to indicate that the stop period is starting. The method may further involve during a third step, triggering an action on the mobile device, according to the stop message.