Abstract:
A wireless mobile device for personalizing the control and IVI settings of a connected vehicle according to a seat position of a user of the mobile device. The wireless mobile device is configured to: i) receive a radio signal from each of a plurality of beacons in the vehicle; ii) determine a received signal strength indicator (RSSI) value for each received radio signal; iii) apply a seat prediction model M to the RS SI value for each received radio signal to predict a seat position P; and iv) transmit a predicted seat position P to a server. The seat prediction model M is generated by a machine learning process and stored in a server. A beacon array configuration, data collection and generalization procedure optimizes the coverage and accuracy of the model M. The wireless mobile device is further configured to receive an identification (ID) value of the vehicle. The wireless mobile device retrieves the seat prediction model M from the server and caches in memory in the wireless mobile device. Once the vehicle knows the in-vehicle seat position of a user, on-demand personalization will follow automatically. The personalization can be for vehicle controls, IVI head unit or backseat entertainment system, etc., according to user's in-vehicle seat position.
Abstract:
A system, apparatus, and method for managing applications as Internet of Things (IoT) objects includes an IoT server, a computing device, and an IoT application. The IoT server and the computing device communicate via a network. The computing device has an IoT interface and an IoT-enabled application with an RPC interface. The IoT interface uses the RPC interface to communicate with the IoT-enabled application. The IoT interface communicates with the IoT server or the IoT application using an IoT protocol. The IoT interface operates the IoT-enabled application as an IoT device in the system.
Abstract:
An apparatus and method for generating an alert on a mobile terminal based on signal strength of the mobile terminal are provided. The method includes measuring a signal strength with which the mobile terminal communicates with a network, determining whether the measured signal strength is less than a predefined signal strength threshold, and if the measured signal strength is less than the predefined signal strength threshold, generating an alert indicating that the signal strength of the mobile terminal is low.