Abstract: A system and method for combining two separate types of human machine interfaces, e.g., a voice signal and a gesture signal, performing voice recognition to a voice signal and gesture recognition to the gesture signal. Based on a confidence determination using the voice recognition result and the gesture recognition result the system can, for example, immediately perform the command/request, request confirmation of the command/request or determine that the command/request was not identified.

Abstract: A system and method for displaying a vehicle backup image are presented. The system includes at least one camera supported by the vehicle. The camera creates an image of a vehicle environment in which the vehicle is disposed. The image includes a first image section of a first portion of the vehicle environment and a second image section of an adjacent second portion of the vehicle environment. A display operatively connects to the camera to receive the first and second image sections. The display includes a first display section having a first display surface displaying the first image section and disposed at a first angle. The display further includes a second display section having a second display surface displaying the second image section and disposed at a second angle such that the second display surface and the first display surface define an obtuse angle therebetween.

Abstract: A method or system for selecting or pruning applicable verbal commands associated with speech recognition based on a user's motions detected from a depth camera. Depending on the depth of the user's hand or arm, the context of the verbal command is determined and verbal commands corresponding to the determined context are selected. Speech recognition is then performed on an audio signal using the selected verbal commands. By using an appropriate set of verbal commands, the accuracy of the speech recognition is increased.

Abstract: A vehicle based system and method for receiving voice inputs and determining whether to perform a voice recognition analysis using in-vehicle resources or resources external to the vehicle.