Abstract: Various systems and methods for engagement dissemination. A face detector detects a face in video data. A context filterer determines a student is on-platform and a section type. An appearance monitor selects an emotional and a behavioral classifiers. Emotional and behavioral components are classified based on the detected face. A context-performance monitor selects an emotional and a behavioral classifiers specific to the section type, Emotional and behavioral components are classified based on the log data. A fuser combines the emotional components into an emotional state of the student based on confidence values of the emotional components. The fuser combines the behavioral components a behavioral state of the student based on confidence values of the behavioral components. The user determine an engagement level of the student based on the emotional state and the behavioral state of the student.

Abstract: Disclosed is a technical solution to summarize a multimodal conferencing environment. The solution is designed to improve efficiency and accuracy of computing systems as a summarization tool by incorporating memory, machine readable instructions, and processor circuitry. The solution executes the functions of adjusting a language model based on a terminology utilized in a first context data; generating a conversation summary from a transcription and a human controlled variable; extracting a semantic entity from the conversation summary and second context data, where the second context data is indicative of an input associated with a conferencing environment; and summarize the semantic entity and the second context data using the adjusted language model.

Abstract: System and techniques for vehicle-based measurement of signal object integrity are described herein. Sensor data of an environment of the vehicle is obtained. A bound for the sensor data for the sensor data is also obtained. Here, the bound corresponds to a signal object (e.g., sign, light, road marking, etc.). A classifier for the signal object is invoked on the sensor data based on the bound. If the classifier produces a result that indicates a problem with the signal object, a representation of the result is communicated.

Abstract: Disclosed are embodiments for determining compatibility between ride hailing passengers. Depending on a compatibility between two passengers, the two passengers are conditionally assigned to a common vehicle. The compatibility is determined by comparing a set of largest probability states of a first of the two passengers to corresponding states of the second passenger. A compatibility score is then determined based on probabilities that the second passenger shares the set of states with the first passenger.

Abstract: Various embodiments disclosed relate to an integrated travel service for producing a dynamic trip itinerary. The present disclosure includes a method including receiving input data comprising a location to be explored and a duration of a trip, retrieving information regarding the location from a travel database, producing a trip itinerary and route based on the information form the travel database, receiving an indication of initiation of the trip and tracking a location of a user during the trip, and dynamically updating the trip itinerary according to the location of the user.

Abstract: Methods and apparatus are described for considering a remote driver state. Embodiments decode, from a message received from a remote vehicle, a remote driver state of a driver of the remote vehicle and a level of the remote driver state. A change in a driving characteristic of a vehicle is determined based on the remote driver state and the level of the remote driver state. The change in the driving characteristic is then made.

Abstract: Various systems and methods for engagement dissemination. A face detector detects a face in video data. A context filterer determines a student is on-platform and a section type. An appearance monitor selects an emotional and a behavioral classifiers. Emotional and behavioral components are classified based on the detected face. A context-performance monitor selects an emotional and a behavioral classifiers specific to the section type, Emotional and behavioral components are classified based on the log data. A fuser combines the emotional components into an emotional state of the student based on confidence values of the emotional components. The fuser combines the behavioral components a behavioral state of the student based on confidence values of the behavioral components. The user determine an engagement level of the student based on the emotional state and the behavioral state of the student.

Abstract: Methods and apparatus are described for considering a remote driver state. Embodiments decode, from a message received from a remote vehicle, a remote driver state of a driver of the remote vehicle and a level of the remote driver state. A change in a driving characteristic of a vehicle is determined based on the remote driver state and the level of the remote driver state. The change in the driving characteristic is then made.

Abstract: Various systems and methods for providing an occupant profiling system are described herein. A system for profiling a vehicle occupant includes a vehicle control system, comprising: a sensor fusion circuit coupled to a plurality of sensors installed a vehicle seat, the sensor fusion circuit to: determine that a human occupant is seated in the vehicle seat; sample a backrest sensor arrangement and a base cushion sensor arrangement of the vehicle seat to obtain backrest sensor data and base cushion sensor data, when the human occupant is determined to be seated in the vehicle seat; sample, when the human occupant is determined to be seated in the vehicle seat, a height sensor to obtain a height sensor value; and statistically determine from the backrest sensor data, the base cushion sensor data, and the high sensor data, whether the human occupant matches a reference profile.

Abstract: Various systems and methods for providing an occupant profiling system are described herein. A system for profiling a vehicle occupant includes a vehicle control system, comprising: a sensor fusion circuit coupled to a plurality of sensors installed a vehicle seat, the sensor fusion circuit to: determine that a human occupant is seated in the vehicle seat; sample a backrest sensor arrangement and a base cushion sensor arrangement of the vehicle seat to obtain backrest sensor data and base cushion sensor data, when the human occupant is determined to be seated in the vehicle seat; sample, when the human occupant is determined to be seated in the vehicle seat, a height sensor to obtain a height sensor value; and statistically determine from the backrest sensor data, the base cushion sensor data, and the high sensor data, whether the human occupant matches a reference profile.