Abstract: A method for generating and discovering online communication groups based on at least one condition is provided. The method may include collecting user real-time data. The method may also include initiating first online communication groups, wherein a user is enabled to specify conditions associated with the collected user real-time data. The method may further include applying the specified conditions to the first online communication groups. Additionally, the method may include initiating second online communication groups. The method may also include clustering conditions associated with the collected user real-time data, wherein the clustered conditions are applied to the second online communication groups. The method may further include generating the first and second online communication groups based on the specified and clustered conditions.

Abstract: A solution is provided for detecting in real time video highlights in a sports video at a mobile computing device. A highlight detection module of the mobile computing device extracts visual features from each video frame of the sports video using a trained feature model and detects a highlight in the video frame based on the extracted visual features of the video frame using a trained detection model. The feature model and detection model are trained with a convolutional neural network on a large corpus of videos to generate category level and pair-wise frame feature vectors. Based on the detection, the highlight detection module generates a highlight score for each video frame of the sports video and presents the highlight scores to users of the computing device. The feature model and detection model are dynamically updated based on the real time highlight detection data collected by the mobile computing device.

Abstract: The invention concerns a method of forming a graphene layer involving: heating a support layer in a reaction chamber; and forming the graphene layer on a surface of the support layer by: a) during a first time period, introducing into the reaction chamber an organic compound gas to cause a formation of carbon atoms on the surface; b) during a second time period after the first time period, reducing a rate of introduction of the organic compound gas into the reaction chamber and introducing into the reaction chamber a further gas, wherein the further gas is a carbon etching gas; and repeating a) and b) one or more times.

Abstract: In an approach for recommending one or more connections in a social network system, a computer retrieves user profile information for a user of a social network system, and determines, based, at least in part, on the user profile information, a stage for the user, wherein the stage represents a social maturity level of the user in the social network system. The computer then determines, based, at least in part, on the user profile information and the stage, whether at least one connection is identified for the user in the social network system. Responsive to determining at least one connection is identified for the user, the computer recommends the at least one connection to the user.

Abstract: In an approach for recommending one or more connections in a social network system, a computer retrieves user profile information for a user of a social network system, and determines, based, at least in part, on the user profile information, a stage for the user, wherein the stage represents a social maturity level of the user in the social network system. The computer then determines, based, at least in part, on the user profile information and the stage, whether at least one connection is identified for the user in the social network system. Responsive to determining at least one connection is identified for the user, the computer recommends the at least one connection to the user.

Abstract: A solution is provided for object tracking in a sports video is disclosed. A determination whether a position of the object was identified in a previous video frame is made. If the position of the object was identified in the previous video frame, a new position of the object is identified in a current video frame based on the identified position of the object in the previous video frame. An expected position of the object is identified based on the identified position of the object in the previous video frame and a trained object classification model. A determination is made whether the new position is consistent with the expected position; if the new position is consistent with the expected position, the new position is stored as the position of the object in the current frame.

Abstract: A solution is provided for detecting video highlights of a sports video. A video highlight of a sports video is a portion of the sports video and represents a semantically important event captured in the sports video. An audio stream associated with the sports video is evaluated, e.g., the loudness and length of the loudness of the portions of the audio stream. Video segments of the sports video are selected based on the evaluation of the audio stream. Each selected video segment represents a video highlight candidate of the sports video. A trained audio classification model is used to recognize the voice patterns in the audio stream associated with each selected video segment. Based on the comparison of the recognized video patterns with a set of desired voice patterns, one or more video segments are selected as the video highlights of the sports video.

Abstract: A solution is provided for recommending sports video content samples to users of a recommendation service with enhanced user experience. The recommendation service generates voting scores for sports video content samples according to a voting method, and selects from among the sports content samples according to the voting scores for the sports video content samples. The voting method is based on in part on motion data for a user's sports motion and the motion data is captured by a motion data device. The sports video content samples, e.g., golf videos, can be classified into multiple classes, e.g., golf swing power related videos, and each class is related to a different aspect of the sports motion.

Abstract: A solution is provided for object tracking in a sports video is disclosed. A determination whether a position of the object was identified in a previous video frame is made. If the position of the object was identified in the previous video frame, a new position of the object is identified in a current video frame based on the identified position of the object in the previous video frame. An expected position of the object is identified based on the identified position of the object in the previous video frame and a trained object classification model. A determination is made whether the new position is consistent with the expected position; if the new position is consistent with the expected position, the new position is stored as the position of the object in the current frame.

Abstract: A solution is provided for recommending sports video content samples to users of a recommendation service with enhanced user experience. The recommendation service generates voting scores for sports video content samples according to a voting method, and selects from among the sports content samples according to the voting scores for the sports video content samples. The voting method is based on in part on motion data for a user's sports motion and the motion data is captured by a motion data device. The sports video content samples, e.g., golf videos, can be classified into multiple classes, e.g., golf swing power related videos, and each class is related to a different aspect of the sports motion.

Abstract: A display panel including first and second pixel structures and a light shielding pattern layer is provided. The first pixel structure includes a first pixel electrode including first pixel electrode bars, wherein a first maximum spacing is formed between any two adjacent first pixel electrode bars of the first pixel structure. The second pixel structure includes a second pixel electrode including second pixel electrode bars, wherein a second maximum spacing which is larger than the first maximum spacing is formed between two adjacent second pixel electrode bars of the second pixel structure. The light shielding pattern layer has first and second light shielding portions. The area of the second light shielding portion is larger than the area of the first light shielding portion. The first pixel electrode is close to the second light shielding portion and the second pixel electrode is away from the second light shielding portion.

Abstract: A solution is provided to enhance motion detection and recognition of moving objects associated with various sports by intelligently embedding motion sensors into sport instruments such as tennis rackets, badminton rackets, baseball bats and golf clubs, that are swung in a three-dimensional (3D) space. The motion sensors embedded inside the sport instruments are securely locked and are detachable for replacement. A motion sensor inserted and locked inside a sport instrument is configured to detect motions associated with movements associated with the sport instrument. The motion parameters associated with the detected motion are collected through the embedded motion sensor and analyzed by a motion detection and recognition system. Based on the analysis of the motion parameters, various types of sports performance reports and performance improvement recommendations are generated for users of the sport instruments.

Abstract: The present invention provides an evaluation method for calibration of a processing equipment. According to the present invention, prior to processing a device, a test member including the same thickness and material with the device is manufactured. Then, the processing equipment is used to process the device, the test member and form a micro-processing structure in the test member. Next, the status of the micro-processing structure in the test member is inspected for evaluating if the processing equipment should be calibrated. In this way, the size and shape accuracy of the formation micro-processing structures using the monitored processing equipment can be reasonably guaranteed.

Abstract: A data acquisition method and device for motion recognition, a motion recognition system and a computer readable storage medium are disclosed. The data acquisition device for motion recognition comprises: an initial motion recognition module adapted to perform an initial recognition with respect to motion data collected by a sensor and provide motion data describing a predefined range around a motion trigger point to a data storage module for storage; a data storage module adapted to store motion data provided from the initial motion recognition module; and a communications module adapted to forward the motion data stored in the data storage module to a motion computing device for motion recognition. The present invention makes an initial selection to the motion data to be transmitted to the motion computing device under the same sampling rate.

Abstract: The invention concerns a method of forming a graphene layer involving: heating a support layer in a reaction chamber; and forming the graphene layer on a surface of the support layer by: a) during a first time period, introducing into the reaction chamber an organic compound gas to cause a formation of carbon atoms on the surface; b) during a second time period after the first time period, reducing a rate of introduction of the organic compound gas into the reaction chamber and introducing into the reaction chamber a further gas, wherein the further gas is a carbon etching gas; and repeating a) and b) one or more times.

Abstract: A data acquisition method and device for motion recognition, a motion recognition system and a computer readable storage medium are disclosed. The data acquisition device for motion recognition comprises: an initial motion recognition module adapted to perform an initial recognition with respect to motion data collected by a sensor and provide motion data describing a predefined range around a motion trigger point to a data storage module for storage; a data storage module adapted to store motion data provided from the initial motion recognition module; and a communications module adapted to forward the motion data stored in the data storage module to a motion computing device for motion recognition. The present invention makes an initial selection to the motion data to be transmitted to the motion computing device under the same sampling rate.

Abstract: The invention provides a method of ball game motion recognition, an apparatus for the same, and a motion assisting device. The method comprises: obtaining motion parameters corresponding to each sampling time for a motion; extracting feature points according to predetermined feature point recognition tactics utilizing the motion parameters obtained, in which the feature point recognition tactics comprise recognition tactics of at least three types of the feature points, comprising: power-assisting path early stage corresponding feature point, motion top point corresponding feature point, and ball hitting time corresponding feature point; and recognizing the motion as a predetermined ball game type if the feature points extracted satisfy feature point requirements of the predetermined ball game type.

Abstract: The invention provides a method of confirming motion parameters, an apparatus for the same, and a motion assisting device. The invention obtains and utilizes the motion data of a recognized object sampled at each of the sampling time, comprising the acceleration of the recognized object sampled by a tri-axial accelerometer, the angular velocity of the recognized object sampled by a tri-axial gyroscope, and the angle of the recognized object corresponding to a three-dimensional geomagnetic coordinate system sampled by a tri-axial magnetometer. Feedback calculation is utilized to obtain an actual acceleration at each sampling time from the motion original time to the motion end time, and the actual acceleration is obtained by reducing the acceleration of gravity from the acceleration sampled by a tri-axial accelerometer. The invention reduces the complexity of the system, and the accuracy is less affected by environmental factors, particularly light.

Abstract: The invention provides a method of confirming motion parameters, an apparatus for the same, and a motion assisting device. The invention obtains and utilizes the motion data of a recognized object sampled at each of the sampling time, comprising the acceleration of the recognized object sampled by a tri-axial accelerometer, the angular velocity of the recognized object sampled by a tri-axial gyroscope, and the angle of the recognized object corresponding to a three-dimensional geomagnetic coordinate system sampled by a tri-axial magnetometer. Feedback calculation is utilized to obtain an actual acceleration at each sampling time from the motion original time to the motion end time, and the actual acceleration is obtained by reducing the acceleration of gravity from the acceleration sampled by a tri-axial accelerometer. The invention reduces the complexity of the system, and the accuracy is less affected by environmental factors, particularly light.

Abstract: The invention provides a method of ball game motion recognition, an apparatus for the same, and a motion assisting device. The method comprises: obtaining motion parameters corresponding to each sampling time for a motion; extracting feature points according to predetermined feature point recognition tactics utilizing the motion parameters obtained, in which the feature point recognition tactics comprise recognition tactics of at least three types of the feature points, comprising: power-assisting path early stage corresponding feature point, motion top point corresponding feature point, and ball hitting time corresponding feature point; and recognizing the motion as a predetermined ball game type if the feature points extracted satisfy feature point requirements of the predetermined ball game type.