An electronic apparatus including a processor configured to analyze at least one of an input image or an captured image and obtain a recommended color distribution including at least one color based on the at least one of the input image or the captured image, the captured image being obtained by capturing an image of an environment; display the input image on a display, obtain a hand image by capturing an image of a hand of a user and generate a magic hand by mapping a color to the obtained hand image based on the recommended color distribution, and detect a gesture of the hand of the user and control colors of the input image displayed on the display based on the detected hand gesture and a color mapping of the magic hand.

An embodiment for adjusting digital content in a flexible display device based on a surface profile of the flexible display device and viewing direction of a user is provided. The embodiment may include receiving a surface profile of a flexible display device. The embodiment may also include in response to determining the surface profile does not indicate that a flexible display device surface is flat, identifying a viewing direction of a user relative to the surface profile. The embodiment may further include identifying an optimal viewing configuration of the flexible display device. The embodiment may also include presenting the optimal viewing configuration to the user. The embodiment may further include adjusting a display of digital content on a screen of the flexible display device. The embodiment may also include receiving feedback from the user regarding a preferred viewing direction and a preferred configuration of the flexible display device.

Provided is an information processing device configured to determine whether to perform modification to a detail of part of not-yet-viewed-and-listened-to content for a user, on the basis of a reaction of the user to viewed-and-listened-to content.

The present disclosure provides a display method and a display device for an interactive interface and a computer-readable storage medium. The display method for the interactive interface includes: determining, from at least one object, a target object to interact through the interactive interface; acquiring an attribute information of the target object and an emotion information of the target object; and controlling a display of a first object region of the interactive interface according to the attribute information of the target object and the emotion information of the target object.

Disclosed is a system and method for using typing input to predict a mood of a user that is typing the input. An example method includes receiving typing input provided by a user on a keyboard to yield typing input, evaluating, via a prediction module, the typing input to classify the typing input to yield an evaluation and, based on the evaluation, outputting a mood of the user. The prediction module includes a machine learning algorithm that using timing characteristics between key presses associated with the typing input to predict a mood of the user.

A method, apparatus, computer system, and computer program product for managing a device. The method detects, by a computer system, a physical handling of the device to form a physical handling pattern for the device. The method determines, by the computer system, a baseline physical handling pattern for the device, wherein the baseline physical handling pattern for the device meets a set of handling metrics for the device. The method initiates, by the computer system, a set of actions in response to the physical handling pattern for the device deviating from the baseline physical handling pattern for the device.

In one instance, a process for predicting and using emotions of a user in a virtual reality environment includes applying a plurality of physiological sensors to a user. The process further includes receiving physiological sensor signals from the physiological sensors and preparing the physiological sensor signals for further processing by removing at least some of the noise and artifacts and doing data augmentation. The process also includes producing an emotion-predictive signal by utilizing an emotion database. The emotion database has been developed based on empirical data from physiological sensors with known emotional states. The method also includes delivering the emotion-predictive signal to a virtual-reality system or other computer-implemented system. Other methods and systems are presented.

An electronic device including a display device configured to render first content. The electronic device is communicably coupled to the display device and controls one or more imaging devices to receive one or more images from the one or more imaging devices. The electronic device further determines a first position of one or more living objects within a pre-defined region from the display device, based on the received one or more images and the rendered first content. The electronic device further controls an orientation of the display device towards the determined first position of the one or more living objects.

This disclosure relates to technologies for a sensor network, machine-to-machine (M2M) communication, machine type communication (MTC), and Internet of Things (IoT). This disclosure can be utilized in intelligent services based on the above technologies, such as smart homes, smart buildings, smart cities, smart cars or connected cars, health care, digital education, retail sales, security and safety related services, etc. This disclosure relates to a method for generating an instruction for controlling equipment on the basis of biometric information, comprising: a step of obtaining at least one biometric information; a step of determining whether to calculate a calorific value by using stored biometric information and the obtained biometric information, and calculating the calorific value by using the stored biometric information and the obtained biometric information according to the determined result; and generating an instruction for controlling the equipment on the basis of the calculated calorific value.

An arousal state estimation apparatus includes: a feature value acquisition unit acquiring a plurality of types of feature values regarding an arousal state of a human body from physiological data obtained by measuring the human body; and an estimation unit estimating the arousal state of the human body by using a principal feature value that is some type among the plurality of types of feature values. In a case where the principal feature value is unacquirable due to a defect of the physiological data, the estimation unit estimates the arousal state of the human body by using a different type of feature value than the principal feature value among the plurality of types of feature values acquired by the feature value acquisition unit instead of the unacquirable principal feature value.