A computer-implemented method for correcting data to match user identity may include (i) receiving user input specifying an aspect of physical presentation of the user that does not match an authentic identity of the user, where the authentic identity of the user includes a realistic version of the user that reflects an internal self-image of the user, (ii) capturing, via a sensor, data of the user that includes the aspect of the physical presentation of the user, (iii) correcting the captured data of the user to portray a corrected version of the aspect that matches the authentic identity of the user, and (iv) storing the corrected data of the user that matches the authentic identity of the user instead of uncorrected data of the user that includes the aspect that does not match the authentic identity of the user. Various other methods, systems, and computer-readable media are also disclosed.

An information processing system is provided. The information processing system comprises: an analysis device configured to analyze emotion of a first person and quantify an emotion level of the first person; and an identification device configured to identify a second person serving as a communication target of the first person. The information processing system further comprises a notification device configured to notify the second person if the emotion level exceeds a set threshold.

A system including a self-adjusting chair is provided. The system includes a chair that is configured to be adjustable to an occupant. The system also includes a plurality of sensors, wherein each sensor of the plurality of sensors is configured to measure a characteristic of the occupant and to transmit a signal that indicates the characteristic of the occupant. In addition, the system includes a plurality of actuators, wherein each actuator of the plurality of actuators is configured to adjust a property of the chair. Further, the system includes a controller that is configured to receive at least one signal from at least one sensor of the plurality of sensors and to instruct at least one actuator of the plurality of actuators to adjust at least one property of the chair based on at least one characteristic of the occupant.

One or more embodiments include an emotion analysis system for computing and analyzing emotional state of a user. The emotion analysis system acquires, via at least one sensor, sensor data associated with a user. The emotion analysis system determines, based on the sensor data, an emotional state associated with a user. The emotion analysis system determines a first component of the emotional state that corresponds to media content being accessed by the user. The emotion analysis system applies a first function to the emotional state to remove the first component from the emotional state.

Methods, systems, and computer readable storage media for using image processing to develop a library of facial expressions. The system can receive digital video of at least one speaker, then execute image processing on the video to identify landmarks within facial features of the speaker. The system can also identify vectors based on the landmarks, then assign each vector to an expression, resulting in a plurality of speaker expressions. The system then scores the expressions based on similarity to one another, and creates subsets based on the similarity scores.

The invention provides a nursing robot for monitoring critically ill patients, which relates to the field of medical robots, including a robot body, an image taking module arranged at the head of the robot body, a walking device arranged at the bottom of the robot body, a power source module, a processor module, a path finding module, a wireless communication module and a vital sign monitor sampling device arranged in the robot body The video acquisition module is used to collect the video data of the target and send the video data to the cloud server through the wireless communication module. The vital signs monitor sampling module is used to collect the monitoring data of the vital signs monitor and analyze the monitoring data through the processor module to predict the target The development of the disease.

A non-transitory computer-readable recording medium stores a program causing a computer to execute a process including acquiring a taken image including a face with markers attached, determining whether a movement amount of a first marker in a first direction is equal to or greater than a first threshold, based on a first position of the first marker and criteria for an occurrence state of a facial muscle movement, determining whether a movement amount of a second marker in a second direction is less than a second threshold, based on a second position of the second marker and the criteria, determining that there is occurrence of the facial muscle movement upon determining that the movement amount of the first marker in the first direction is equal to or greater than the first threshold and the movement amount of the second marker in the second direction is less than the second threshold.

Systems and methods are provided for enhanced animation generation based on generative modeling. An example method includes training models based on faces and information associated with persons, each face being defined based on location information associated with facial features, and identity information for each person. The modeling system being trained to reconstruct expressions, textures, and models of persons.

Systems and methods are provided for enhanced animation generation based on generative modeling. An example method includes training models based on faces and information associated with persons, each face being defined based on location information associated with facial features, and identity information for each person. The modeling system being trained to reconstruct expressions, textures, and models of persons.

Systems and methods are provided for enhanced animation generation based on generative modeling. An example method includes training models based on faces and information associated with persons, each face being defined based on location information associated with facial features, and identity information for each person. The modeling system being trained to reconstruct expressions, textures, and models of persons.