System and method for identifying and analyzing personal context of a user

A system for identifying a personal context of at least one user at a location for deriving social interaction information of the user, the system comprising:

• a mobile communication device, comprising:
• an internal sensor adapted for sensing a personal context of the user and sending the personal context to a processing module of the mobile communication device;
• the processing module adapted to perform on-board processing of sensory data received from an external sensor and the internal sensor;
• an internal memory communicatively coupled with the processing module and adapted to store the processed sensory data;
• a transmission module adapted to transmit the processed sensory data to a back end server hosting a fusion engine and communicatively coupled to a database adapted to store fused confidence values, fused current location information of the user, and the personal context of the user;
• and
• a switching module adapted for switching between other mobile device applications of the internal sensor and the personal context of the user when an interrupt is generated from regular activities of the mobile communication device;
• and
• wherein the external sensor is adapted for sensing the personal context of the user and sending the personal context of the user to the processing module via an external sensor interface of the mobile communication device, and
• wherein the back end server is adapted for fusing assigned predefined confidence values of the personal context of the user, current location information of the user, and a derived accurate straight line distance between at least two users in a group at a location of the user.

A non-transitory computer readable medium storing machine readable instructions executable by one or more processors for:

• determining a location of at least one user within a predefined range by identifying a personal context of the user at the location, wherein the personal context of the user is identified using at least an external sensor and an internal sensor embedded in the mobile communication device;
• assigning predefined confidence values to the identified personal context;
• obtaining current location information relating to the user at the location by fusing the assigned confidence values;
• grouping, based on predefined density criteria, at least two users having similar current location information at the location of the user;
• estimating, using the external sensor and internal sensor, a straight line distance between the at least two grouped users;
• and
• deriving social interaction information of the user by fusing the current location information of the user, the estimated straight line distance, and data received from a web sensor.