Abstract: In one embodiment, sensor signals corresponding to motions of a client computing device are received. The sensor signals are associated with activity periods, each activity period also being associated with a geographic location of the client computing device. For each activity period, one or more activity types are determined for the client computing device based on the sensor signals for the activity period and one or more signal parameters. A reference of the activity type and activity period is sent to the client computing device, and an indication is received regarding whether that reference is correct. The signal parameters may be adjusted based on the received indication.

Abstract: The present disclosure provides a system for tracking and recording movements of a communication device. The mobile communication device is operable to communicate one or more sensor signals to the system, wherein the sensor signals are indicative of motion associated with activities to which the user exposes the mobile communication device. The system includes a computing hardware that analysis sensor signals to classify them into one or more temporal zones, determines a most likely activity type associated with a given temporal zone, and sends the information regarding most likely activity to the mobile communication device. The user of the mobile communication device provides their confirmation whether the most likely activity type represents a correct analysis, and communicate the confirmation back to the computing hardware for amending parameters and/or algorithms which execute analysis of the sensor signals to improve their accuracy.

Abstract: The present disclosure provides a system for tracking and recording movements of a mobile communication device that includes one or more movement sensors. The mobile communication device communicates sensor signals to the system, wherein the sensor signals are indicative of motion associated with activities to which the mobile communication device is exposed by its user. The sensor signals are pre-classified to generate the intermediate data, where the intermediate data is processed in one or more processors to generate indications of likely activities associated with the sensor signals, and an aggregate of the indications is computed to provide an analysis of activities associated with the sensor signals. The information indicating most likely activity types is then sent to the mobile communication device.

Abstract: The present disclosure provides a system for tracking and recording movements of a communication device. The mobile communication device is operable to communicate one or more sensor signals to the system, wherein the sensor signals are indicative of motion associated with activities to which the user exposes the mobile communication device. The system includes a computing hardware that analyses sensor signals to classify them into one or more temporal zones, determines a most likely activity type associated with a given temporal zone, and sends the information regarding most likely activity to the mobile communication device. The user of the mobile communication device provides their confirmation whether the most likely activity type represents a correct analysis, and communicate the confirmation back to the computing hardware for amending parameters and/or algorithms which execute analysis of the sensor signals to improve their accuracy.