Abstract: Apparatus, systems and methods for determining a geo-location are provided. The apparatus comprises a receiver, a sensor, a processor, and a transmitter. The receiver is configured to receive a first geo-location. The sensor is configured to determine a change in a pose of the apparatus. The processor is operatively coupled to memory, the receiver, and the sensor. The processor is configured to determine a second geo-location based on the first geo-location and the sensor utilizing a neural network. The first transmitter is configured to output the second geo-location of the apparatus.

Abstract: Apparatus, systems and methods for determining a geo-location are provided. The apparatus comprises a receiver, a sensor, a processor, and a transmitter. The receiver is configured to receive a first geo-location. The sensor is configured to determine a change in a pose of the apparatus. The processor is operatively coupled to memory, the receiver, and the sensor. The processor is configured to determine a second geo-location based on the first geo-location and the sensor utilizing a neural network. The first transmitter is configured to output the second geo-location of the apparatus.

Abstract: One example method of operation may include identifying a vehicle collision event via one or more sensors disposed in one or more sensor circuits affixed to a vehicle body of a vehicle via one or more multi-layered removable stickers, responsive to identifying the vehicle collision event, identifying vehicle collision event data including a geolocation of the vehicle and a timestamp of the vehicle collision event, and storing, in a wirelessly accessible memory of the one or more sensor circuits, the vehicle collision event data received during the vehicle collision event.

Abstract: Apparatus, systems and methods for determining a geo-location are provided. The apparatus comprises a receiver, a sensor, a processor, and a transmitter. The receiver is configured to receive a first geo-location. The sensor is configured to determine a change in a pose of the apparatus. The processor is operatively coupled to memory, the receiver, and the sensor. The processor is configured to determine a second geo-location based on the first geo-location and the sensor utilizing a neural network. The first transmitter is configured to output the second geo-location of the apparatus.

Abstract: One example method of operation may include identifying a vehicle collision event via one or more sensors disposed in one or more sensor circuits affixed to a vehicle body of a vehicle via one or more multi-layered removable stickers, responsive to identifying the vehicle collision event, identifying vehicle collision event data including a geolocation of the vehicle and a timestamp of the vehicle collision event, and storing, in a wirelessly accessible memory of the one or more sensor circuits, the vehicle collision event data received during the vehicle collision event.

Abstract: Online social networking and user posts may be associated with a user profile managed by a particular online application or website. One example method of operating may include identifying a digital gesture received from a user device, receiving a digital gesture confirmation based on at least one of current location and a previous location between the user device and a target location associated with the digital gesture, applying a weight to the digital gesture based on the digital gesture confirmation, and storing the digital gesture as a weighted function of the applied weight.

Abstract: Online social networking and user posts may be associated with a user profile managed by a particular online application or website. One example method of operating may include identifying a digital gesture received from a user device, receiving a digital gesture confirmation based on at least one of current location and a previous location between the user device and a target location associated with the digital gesture, applying a weight to the digital gesture based on the digital gesture confirmation, and storing the digital gesture as a weighted function of the applied weight.

Abstract: Disclosed are an apparatus and method of initiating an educational application user interface. One example method of operation may include receiving a near field communication signal from a passive near field tag at an active near field communication device operating an educational application user interface. The passive tags may be used to provide educational segment triggers which offer educational content pertaining to the particular lesson being conducted.

Abstract: Disclosed are an apparatus and method of initiating an educational application user interface. One example method of operation may include receiving a near field communication signal from a passive near field tag at an active near field communication device operating an educational application user interface. The passive tags may be used to provide educational segment triggers which offer educational content pertaining to the particular lesson being conducted.

Abstract: The system & method for usage of electronically stored, dynamically up-dated physical location parameters of cellular-phone or similar Mobile Device 20 to inform/alert/announce to its subscriber about the location-dependent variable timings of five-times-daily Islamic prayers called Salaat (Arabic) or Namaaz (Urdu). The alert/information can be through textual message or through formal vocal announcement called Azaan. The system allows the Azaan-time-deciding-algorithm 85 to be stored on the Mobile Device 20 or on some remotely-connected Web-server based Azaan Software Application 40, and the actual calculation may either be done dynamically just before the announcement, or the timings may be looked-up from pre-calculated location-specific look-up tables 80. The system further allows the location variables to be stored-on/retrieved-from the hand-held-mobile-device 20, itself or on some other remotely-connected computer called location-server 30.