A computerized method for providing a sentiment score by evaluating expressions of participants during a video meeting is provided herein. The computerized method comprising: a Sentiment Analysis (SA) module. The SA module is: (i) retrieving one or more recordings of a video meeting from the database of video meeting recordings of each participant in the video meeting and associating the one or more recordings with a participant; (ii) dividing each retrieved recording into segments; (iii) processing the segments in a Facial Expression Recognition (FER) system to associate each segment with a timestamped sequence of expressions for each participant in the video meeting; and (iv) processing each segment in an Artificial Neural Network (ANN) having a dense layer, by applying a prebuilt and pretrained deep learning model, to yield a sentiment score for each statement for each participant.

An editing device acquires a first image in which an occupant of a vehicle has been imaged in association with a time point in a time series and a second image in which scenery around the vehicle has been imaged in association with a time point in a time series, acquires first index information indicating feelings of the occupant when the first image has been captured on the basis of the first image, and extracts the first image and the second image from first images of the time series and second images of the time series on the basis of the first index information and the time point associated with the first image based on the first index information to generate a library including the extracted images.

A system of image processing based emotion recognition is disclosed. The system principally comprises a camera and a main processor. Particularly, there a plurality of function units provided in the main processor, including: face detection unit, feature processing module, feature combination unit, conversion module, facial action judging unit, and emotion recognition unit. According to the present invention, the emotion recognition unit is configured to utilize a facial emotion recognition (FER) model to evaluate or distinguish an emotion state of a user based on at least one facial action, at least one emotional dimension, and a plurality of emotional scores. As a result, the accuracy of the emotion recognition conducted by the emotion recognition unit is significantly enhanced because basis of the emotion recognition comprises basic emotions, emotional dimension(s) and the user's facial action.

A computer system obtains at least one 3D scan of a body surface; automatically identifies, based on the at least one 3D scan, one or more features (e.g., nose, lips, eyes, eyebrows, cheekbones, or specific portions thereof, or other features) of the body surface; and generates a digital 3D model of the body surface. The digital 3D model includes the identified features of the human body surface. In an embodiment, the step of generating of the digital 3D model is based on the at least one 3D scan and the identified features of the body surface. In an embodiment, the digital 3D model comprises a 3D mesh file. The digital 3D model can be used in various ways. For example, output of a manufacturing process (e.g., a 3D printed item, a cosmetics product, a personal care product) can be based on the digital 3D model.

The disclosed embodiments provide systems and methods for predicting presence of one or more neurological deficits. The system may include a microphone, a camera, one or more memory devices storing instructions, and one or more processors configured to execute the instructions to extract audio information including a period density entropy coefficient and a mel frequency cepstral coefficient from an audio feed received from the microphone. Additionally, the instructions may cause the processor to determine position and depth information of eye movement from a video feed received from the camera and detect features of interest including facial landmarks, spatial orientation of limbs, and positional information of limb movements from the video feed. The one or more processors may further extract the features of interest from the video feed and process the extracted features of interest by aligning the extracted features of interest to a common reference.

An information processing system, an information processing method, and a recording medium, which implement effective information presentation by presentation of information when a user is in a situation where information is easily acceptable, are to be provide. An information processing system including a control unit that controls a presentation unit to present a message to a user when the user is presumed, based on sensing data related to the user, to be in a situation where a message is easily acceptable.

A method for generating a facial animation from a single image is provided. The method is mainly divided into four steps: generation of facial feature points in an image, global two-dimensional deformation of the image, optimization of details of a facial area, and generation of texture of an oral cavity area. The present disclosure can generate a facial animation in real time according to a change of the facial feature points, and the animation quality reaches a level of current state-of-art facial image animation technology. The present disclosure can be used in a series of applications, such as facial image editing, portrait animation generation based on a single image, and facial expression editing in videos.

Embodiments generally provide television controller functions using head movements. In some embodiments, a method includes recording a motion of a user. The method further includes determining one or more characteristics of the motion of the user. The method further includes generating a motion identifier based on the one or more characteristics. The method further includes assigning the motion identifier to a television command for controlling a television function of a television.

Described is a mood aggregation system. The system includes a server having a memory storing user information and a user computing device coupled to the server. The server may be programmed to automatically generate a mood request with response capabilities and send the request to the user computing device for display in response to the user computing device accessing the system. The server may also be programmed to receive and store mood data sent from the user computing device, wherein the mood data comprises a mood selection, a time the mood data was sent and a location of the user computing device when sending the mood data. The user may send a request for a report that is received and stored in the server for a user associated with the user computing device and automatically access the stored mood data and generate a report responsive to the report request.

The present disclosure provides systems and methods for managing meeting notes. In accordance with some embodiments, a method is provided that includes receiving nonverbal cue information associated with one or more meeting participants, determining an engagement level for each of the one or more meeting participants based on emotional information associated with the nonverbal cue information, composing meeting notes based on the determined engagement level for each of the one or more meeting participants, and storing the meeting notes.