Abstract: 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.

Abstract: The present invention relates to a method for screening mobile terminal visual attention abnormalities in children based on multimodal data learning. A calibration video and a testing video are set up, and a head-face video of children while watching the calibration video and the testing video on smartphones is recorded, respectively. An eye-tracking estimation model is constructed to predict the fixation point location from the head-face video corresponding to the testing video frame by frame and to extract the eye-tracking features. Facial expression features and head posture features are extracted. A Long Short-Term Memory (LSTM) network is used to fuse different modal features and realize the mapping from multimodal features to category labels. In the testing stage, the head-face video of children to be classified while watching the videos on smartphones is recorded, and the features are extracted and input into the post-training model to determine whether they are abnormal.

Abstract: An online system maintains item embeddings for items. As a number of items maintained by the online system increases, maintaining a single index of the item embeddings is increasingly difficult. To increase scalability, the online system partitions item embeddings into multiple indices, with each index corresponding to a value of a specific attribute maintained by the online system for items. For example, an online system generates indices that each correspond to a different warehouse offering items. To expedite retrieval of item embeddings, the online system allocates each index to one of a number of shards. When the online system receives a query, the online system determines an embedding for the query and retrieves an index from a shard based on metadata received with the query. Based on distances between the query for the embedding and the item embeddings in the retrieved index, the online system selects one or more items.

Abstract: An online system maintains various items and maintains values for different attributes of the items, as well as an item embedding for each item. When the online system receives a query for retrieving one or more items, the online system generates an embedding for the query. Based on measures of similarity between the embedding for the query and item embeddings, the online system selects a set of items. The online system identifies a specific attribute of items and generates a whitelist of values for the specific attribute based on measures of similarity between item embeddings for items in the selected set and the embedding for the query. The online system removes items having values for the selected attribute outside of the whitelist of values from the selected set of items to identify items more likely to be relevant to the query.

Abstract: Conducting hands-free transactions comprises a server at a payment processing system, a user computing device, and a merchant computing device. The payment processing system receives a communication from a hands-free payment application on a user device, the communication comprising a first transaction token, an identification of a user account, and a beacon identifier. The merchant may provide a challenge to the user and use the response to identify the token and account of the user. The merchant computing device can use voice patterns of the user to assist in identifying the token and account of the user. The system receives from the merchant computing device a transaction request, the transaction request comprising the first transaction token and transaction data associated with the transaction request. The system determines that the transaction is for an amount less than a configured transaction limit and communicates a request for an authorization of the transaction.

Abstract: The present disclosure relates to a method, device, and system for emotion intervention, as well as a computer-readable storage medium and a healing room. The emotion intervention method includes: identifying a user's emotion state according to the user's first biometric information; and recommending at least one emotion intervention corresponding to the emotion state.

Abstract: Conducting hands-free transactions comprises a server at a payment processing system, a user computing device, and a merchant computing device. The payment processing system receives a communication from a hands-free payment application on a user device, the communication comprising a first transaction token, an identification of a user account, and a beacon identifier. The merchant may provide a challenge to the user and use the response to identify the token and account of the user. The merchant computing device can use voice patterns of the user to assist in identifying the token and account of the user. The system receives from the merchant computing device a transaction request, the transaction request comprising the first transaction token and transaction data associated with the transaction request. The system determines that the transaction is for an amount less than a configured transaction limit and communicates a request for an authorization of the transaction.

Abstract: 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.

Abstract: Embodiments of the present disclosure provide a blood pressure measuring method, a blood pressure measuring apparatus, an electronic device and a computer readable storage medium. The electronic device includes a processor configured to: acquire an electrocardiosignal and a blood oxygen volume wave signal of a target object within a preset measurement period; and determine beat-wise blood pressure values of the target object within the preset measurement period by means of a first trained blood pressure calculation model based on the acquired electrocardiosignal and blood oxygen volume wave signal.

Abstract: Embodiments of the present disclosure provide a blood pressure measuring method, a blood pressure measuring apparatus, an electronic device and a computer readable storage medium. The electronic device includes a processor configured to: acquire an electrocardiosignal and a blood oxygen volume wave signal of a target object within a preset measurement period; and determine beat-wise blood pressure values of the target object within the preset measurement period by means of a first trained blood pressure calculation model based on the acquired electrocardiosignal and blood oxygen volume wave signal.

Abstract: The present disclosure relates to a method, a client, a server and a system for detecting a tongue image, and a tongue imager. The method for detecting the tongue image, which is applied to the client for detecting the tongue image, comprises: acquiring the tongue image, recognizing the tongue image by using an image analysis model, and generating and displaying a first label information; determining, after acquiring a correction information for the first label information, whether to adopt the correction information in accordance with an accuracy corresponding to the correction information, and generating a second label information; and analyzing the tongue image and the second label information by using an assistant diagnosis model, and generating an assistant diagnosis result.

Abstract: The present disclosure relates to a method, device, and system for emotion intervention, as well as a computer-readable storage medium and a healing room. The emotion intervention method includes: identifying a user's emotion state according to the user's first biometric information; and recommending at least one emotion intervention corresponding to the emotion state.

Abstract: A processing system periodically configures a beacon code and random nonce to transmit to a beacon device at a location. Multiple users enter the location with associated user computing devices and retransmit the beacon code broadcasted by the beacon device to the processing system. A computing device at the location transmits to the processing system a request for account data comprising a hardware identifier and retransmits the beacon code and a random nonce. The processing system verifies the request based on the beacon code and random nonce and transmits, to the computing device at the location, user account identifiers associated with user computing devices that retransmitted the beacon code. Within a threshold period of time, the processing system may verify a subsequent request from the computing device, even without receiving the beacon code and random nonce, if the request comprises the hardware identifier.

Abstract: The embodiments of the present disclosure provide an emotion analysis method, an emotion analysis device, and a computer readable medium. The motion analysis method includes: collecting a facial image and body parameter information of a target object; and recognizing an expression of the target object according to the facial image, and determining an state of the target object according to the recognized expression in combination with the body parameter information.

Abstract: The present disclosure relates to a method, a client, a server and a system for detecting a tongue image, and a tongue imager. The method for detecting the tongue image, which is applied to the client for detecting the tongue image, comprises: acquiring the tongue image, recognizing the tongue image by using an image analysis model, and generating and displaying a first label information; determining, after acquiring a correction information for the first label information, whether to adopt the correction information in accordance with an accuracy corresponding to the correction information, and generating a second label information; and analyzing the tongue image and the second label information by using an assistant diagnosis model, and generating an assistant diagnosis result.

Abstract: Conducting hands-free transactions comprises a server at a payment processing system, a user computing device, and a merchant computing device. The payment processing system receives a communication from a hands-free payment application on a user device, the communication comprising a first transaction token, an identification of a user account, and a beacon identifier. The merchant may provide a challenge to the user and use the response to identify the token and account of the user. The merchant computing device can use voice patterns of the user to assist in identifying the token and account of the user. The system receives from the merchant computing device a transaction request, the transaction request comprising the first transaction token and transaction data associated with the transaction request. The system determines that the transaction is for an amount less than a configured transaction limit and communicates a request for an authorization of the transaction.

Abstract: Conducting hands-free transactions comprises a server at a payment processing system, a user computing device, and a merchant computing device. The payment processing system receives a communication from a hands-free payment application on a user device, the communication comprising a first transaction token, an identification of a user account, and a beacon identifier. The merchant may provide a challenge to the user and use the response to identify the token and account of the user. The merchant computing device can use voice patterns of the user to assist in identifying the token and account of the user. The system receives from the merchant computing device a transaction request, the transaction request comprising the first transaction token and transaction data associated with the transaction request. The system determines that the transaction is for an amount less than a configured transaction limit and communicates a request for an authorization of the transaction.

Abstract: A processing system periodically configures a beacon code and random nonce to transmit to a beacon device at a location. Multiple users enter the location with associated user computing devices. The user computing devices retransmit the beacon code broadcasted by the beacon device to the processing system. A particular user initiates a transaction at a computing device at the location, which transmits to the processing system a request for account data and retransmits the beacon code and a random nonce. The processing system verifies the beacon code and random nonce and transmits, to the computing device at the location, user account identifiers associated with user computing devices that retransmitted the beacon code. The processing system receives a selection of the user identifier from the merchant point of sale device and transmits account information to the computing device at the location.

Abstract: The proposed solution in particular relates to a computer-implemented method to identify user computing device locations based on location data and beacon signal strength in which a user computing device receives a beacon signal comprising a beacon device identifier from a beacon device via a wireless network scan and determines that a second location of the user computing device is within a geofence boundary and is less than a predefined distance from a location of the beacon device based on a beacon signal strength of the beacon device. The beacon signal strength is based on at least one of the received beacon signal and further signals received from the beacon device via the wireless network scan.