Abstract: The present disclosure provides an information processing method and apparatus, a terminal, and a storage medium. The information processing method according to the present disclosure includes the following steps performed by a plug-in of a browser: obtaining first information of a first page of a first system; based on the first information, determining, in a second system, second information associated with the first information; and displaying, on the first page, a control associated with the second information if the first page is displayed in the browser, wherein a function of the control is associated with the second information. According to the present disclosure, a user can conveniently perform an operation associated with the second information by means of the control.

Abstract: A system and method for determining a measurement of anxiety in a vehicle that include receiving sensor data from a plurality of sensors disposed within a plurality of areas of the vehicle. The system and method also include processing the sensor data into metrics associated with a type of measurement. Processing of the sensor data is completed by a neural network. The system and method also include analyzing the processed metrics and determining an anxiety level associated with an occupant of the vehicle. The system and method further include training the neural network based on the anxiety level and at least one driving event that is correlated with the anxiety level.

Abstract: A system and method for determining a measurement of anxiety in a vehicle that include receiving sensor data from a plurality of sensors disposed within a plurality of areas of the vehicle. The system and method also include processing the sensor data into metrics associated with a type of measurement. Processing of the sensor data is completed by a neural network. The system and method also include analyzing the processed metrics and determining an anxiety level associated with an occupant of the vehicle. The system and method further include training the neural network based on the anxiety level and at least one driving event that is correlated with the anxiety level.