An image data processing device and a system capable of efficiently detecting a face from an image including a plurality of faces are provided. A processor executes at least following processes including detecting a face of a person from an image represented by image data by using a first discrimination model and discriminating an attribute of the detected face, clustering an area where the face is detected in the image represented by the image data according to a type of the attribute of the face, selecting a second discrimination model to be applied to the area based on information on the type of the attribute of the face in the clustered area, and detecting a face of a person from an image of each area by using the second discrimination model applied to the area and discriminating an attribute of the detected face.

A method for generating a data set relating to facial expressions is provided. The method includes the steps of: acquiring information on a user's facial expressions specified while the user takes a psychological test, and information on an analysis result of the psychological test associated with the information on the user's facial expressions; labeling the information on the user's facial expressions with reference to the information on the analysis result of the psychological test; and generating a data set containing the information on the user's facial expressions and information on the labeling.

A non-transitory computer-readable recording medium stores a calculation program for causing a computer to execute processing including: acquiring a captured image that includes a face; determining an occurrence state of a movement of a facial muscle, based on the captured image; and calculating a matching degree between the face and a specific fashion style, based on the occurrence state of the movement of the facial muscle.

Provided are a gesture recognition apparatus and method. The gesture recognition apparatus includes a first communication circuit configured to communicate with a wearable device worn on a first body part of a user, a memory in which a gesture recognition program is stored, and a processor configured to execute the gesture recognition program, wherein the processor receives motion information from the wearable device through the first communication circuit, checks a position of the wearable device, determines whether a gesture is to be recognized according to the position of the wearable device on the basis of the motion information, and executes a function corresponding to the gesture.

In implementations for highlight video generated with adaptable multimodal customization, a multimodal detection system tracks activities based on poses and faces of persons depicted in video clips of video content. The system determines a pose highlight score and a face highlight score for each of the video clips that depict at least one person, the highlight scores representing a relative level of the interest in an activity depicted in a video clip. The system also determines pose-based emotion features for each of the video clips. The system can detect actions based on the activities of the persons depicted in the video clips, and detect emotions exhibited by the persons depicted in the video clips. The system can receive input selections of actions and emotions, and filter the video clips based on the selected actions and emotions. The system can then generate a highlight video of ranked and filtered video clips.

One embodiment provides a method, including: receiving, at an information handling device, a login request to a user account; identifying, using a processor, that the login request was provided by an authorized user; determining, subsequent to the identifying, whether the authorized user provided the login request under duress; and performing, responsive to determining that the authorized user provided the login request under duress, an action that protects one or more data sources contained within the user account. Other aspects are described and claimed.

There is provided a technology capable of improving work efficiency of a work machine that is remotely operated by an operator through a remote operation apparatus. If a first condition is satisfied, that is, if an engine stop instruction for a work machine 40 is made through a remote input interface 21 of the remote operation apparatus 20, operation of an engine 460 is stopped in principle, but the operation of the engine 460 is exceptionally not stopped. Specifically, when an operator does not exist at a specified position at the time of operating a remote operation mechanism 211 in the remote operation apparatus 20, the operation of the engine 460 is stopped. On the other hand, when the operator exists at the specified position, the operation of the engine 460 is continued without being stopped even if an engine operation instruction is made.

Systems and techniques are provided for generating one or more models. For example, a process can include obtaining a plurality of input images corresponding to faces of one or more people during a training interval. The process can include determining a value of the coefficient representing at least the portion of the facial expression for each of the plurality of input images during the training interval. The process can include determining, from the determined values of the coefficient representing at least the portion of the facial expression for each of the plurality of input images during the training interval, an extremum value of the coefficient representing at least the portion of the facial expression during the training interval. The process can include generating an updated bounding value for the coefficient representing at least the portion of the facial expression based on the initial bounding value and the extremum value.

The present disclosure provides an experienced difficulty analysis method and apparatus. According to one embodiment of the present disclosure, the experienced difficulty analysis method and apparatus are provided for acquiring biometric information of a learner to obtain micro-vibration information of face region of the learner, and determining experienced difficulty of the learner for learning content by using the micro-vibration information.

A system is configured to receive player multimedia having live coverage of physical expressions or actions of a player in an online activity and activity multimedia of live participation in the online activity associated with one or more play accounts. In a near continuous fashion, the system is configured to select in real time, for each time point, one or more player items being portions of the player multimedia or one or more activity items being portions of the activity multimedia corresponding to the time point to form a composite item. The system is configured to further transmit in real time the composite item to one or more viewer accounts. The system is configured to then receive viewer data in response and produce future composite items based on the viewer data.