Abstract: Disclosed is an in-vehicle information processing system and method thereof. The in-vehicle information processing system includes at least one sensing device operable to obtain sensing data in relation to an observation scene. The system may further include a processor including a memory having a set of instruction stored thereon, the set of instructions stored thereon retrievable by the processor. The processor may further include a semantic model operable to generate an aggregated value in relation to at least one subject observed in the observation scene. In response to the aggregated value generated by a semantic model, the processor may be further operable to analyse a motion of the at least one subject observed in the observation scene. A computer product and a computer-readable medium for executing the computer product are also disclosed.

Abstract: The disclosure provides a computer implemented method for detecting an output pose of interest of a subject in real-time, the method comprising recording an image frame of the subject using an imaging device, determining an output pose of interest by processing the image frame using a machine learning model that comprises a rule-based pose inference model and a data-driven pose inference model wherein with the data-driven pose inference model, determining a data-driven pose of interest by processing a single frame of the subject, and wherein with the rule-based pose inference model, determining a rule-based output pose of interest by processing the same single image frame, and determining as the output pose of interest the rule-based output pose of interest, if the rule-based pose inference model is able to determine the rule-based output pose of interest, otherwise determining the data-driven pose of interest as the output pose of interest.

Abstract: A method and system for pose estimation includes receiving at least one image frame captured by an imaging device, wherein the imaging device is arranged to image at least one subject; determining one or more candidate positions for each of a plurality of human keypoints, wherein each candidate position is associated with a likelihood that a human keypoint is located at such position; generating one or more combinations of human keypoints based on the determined one or more candidate positions; and determining a pose of each of the at least one subject based at least on the one or more generated combinations of human keypoints.

Abstract: Aspects of the present invention disclose a method for delivering an artificial intelligence-based response to a voice command to a user. The method includes one or more processors identifying an audio command received by a computing device. The method further includes determining a first engagement level of a user, wherein an engagement level corresponds to an attentiveness level of the user in relation to the computing device based at least in part on indications of activities of the user. The method further includes identifying a first set of conditions within an immediate operating environment of the computing device, wherein the first set of conditions indicate whether to deliver a voice response to the identified audio command. The method further includes determining whether to deliver the voice response to the identified audio command to the user based at least in part on the first engagement level and first set of conditions.

Abstract: Aspects of the present invention disclose a method for delivering an artificial intelligence-based response to a voice command to a user. The method includes one or more processors identifying an audio command received by a computing device. The method further includes determining a first engagement level of a user, wherein an engagement level corresponds to an attentiveness level of the user in relation to the computing device based at least in part on indications of activities of the user. The method further includes identifying a first set of conditions within an immediate operating environment of the computing device, wherein the first set of conditions indicate whether to deliver a voice response to the identified audio command. The method further includes determining whether to deliver the voice response to the identified audio command to the user based at least in part on the first engagement level and first set of conditions.