Abstract: A sign-in method and server based on facial recognition are provided. The method includes: receiving a face image of a sign-in user from a sign-in terminal. According to the face image of the sign-in user, whether a target registration user matching the sign-in user exists in a pre-stored registration set is detected. The registration set includes a face image of at least one registration user. Further, the target registration user is confirmed as signed in successfully if the target registration user exists in the registration set.

Abstract: The embodiment of the present invention provides a human face recognition method and recognition system. The method includes that: a human face recognition request is acquired, and a statement is randomly generated according to the human face recognition request; audio data and video data returned by a user in response to the statement are acquired; corresponding voice information is acquired according to the audio data; corresponding lip movement information is acquired according to the video data; and when the lip movement information and the voice information satisfy a preset rule, the human face recognition request is permitted. By performing fit goodness matching between the lip movement information and voice information in a video for dynamic human face recognition, an attack by human face recognition with a real photo may be effectively avoided, and higher security is achieved.

Abstract: Processing circuitry of an information processing apparatus obtains a set of identity vectors that are calculated according to voice samples from speakers. The identity vectors are classified into speaker classes respectively corresponding to the speakers. The processing circuitry selects, from the identity vectors, first subsets of interclass neighboring identity vectors respectively corresponding to the identity vectors and second subsets of intraclass neighboring identity vectors respectively corresponding to the identity vectors. The processing circuitry determines an interclass difference based on the first subsets of interclass neighboring identity vectors and the corresponding identity vectors; and determines an intraclass difference based on the second subsets of intraclass neighboring identify vectors and the corresponding identity vectors.

Abstract: A method and device for managing establishment of a communications link between an external instrument (EI) and an implantable medical device (IMD) are provided. The method stores, in a memory in at least one of the IMD or the EI, a base scanning schedule that defines a pattern for scanning windows over a scanning state. The method enters the scanning state during which a receiver scans for advertisement notices during the scanning windows. At least a portion of the scanning windows are grouped in a first segment of the scanning state. The method stores, in the memory, a scan reset pattern for restarting the scanning state. Further, the method automatically restarts the scanning state based on the scan reset pattern to form a pseudo-scanning schedule that differs from the base scanning schedule and establishes a communication session between the IMD and the EI.

Abstract: Example electronic devices, including but not limited to implantable medical devices, and methods employing dynamic announcing for creation of wireless communication connections are disclosed herein. In an example, an electronic device includes a wireless communication interface to transmit announcement signals for creating a wireless communication connection with the external device. The electronic device also includes a sensor to detect a characteristic of an environment external to the electronic device, and a control circuit including an announcement timing control module to dynamically control timing of the announcement signals based on the detected characteristic.

Abstract: The present disclosure discloses a living body identification method, an information generation method, and a terminal, and belongs to the field of biometric feature recognition. The method includes: providing lip language prompt information, the lip language prompt information including at least two target characters, and the at least two target characters being at least one of: characters of a same lip shape, characters of opposite lip shapes, or characters whose lip shape similarity is in a preset range; collecting at least two frame pictures; detecting whether lip changes of a to-be-identified object in the at least two frame pictures meet a preset condition, when the to-be-identified object reads the at least two target characters; and determining that the to-be-identified object is a living body, if the preset condition is met.

Abstract: Face model matrix training method, apparatus, and storage medium are provided. The method includes: obtaining a face image library, the face image library including k groups of face images, and each group of face images including at least one face image of at least one person, k>2, and k being an integer; separately parsing each group of the k groups of face images, and calculating a first matrix and a second matrix according to parsing results, the first matrix being an intra-group covariance matrix of facial features of each group of face images, and the second matrix being an inter-group covariance matrix of facial features of the k groups of face images; and training face model matrices according to the first matrix and the second matrix.

Abstract: An implantable medical device (IMD) that includes a transceiver configured to broadcast an advertising data packet that includes a unique identifier, and to receive a scan request data packet from an external device. A memory stores program instructions, and stores an approved device list, and one or more processors are configured to execute the program instructions to identify a device identifier (ID) from the scan request data packet received, apply an advertising filter to determine if the scan request data packet is from an authorized external device based on the device ID and the approved device list, based on the determination by the advertising filter, deny transmission of a scan response data packet from the transceiver when the advertising filter determines that the scan request data packet is from an unauthorized external device, and establish a communication session with an authorized external device independent of the scan request data packet.

Abstract: A method, system and external instrument are provided. The method initiates a communication link between an external instrument (EI) and an implantable medical device (MD), established a first connection interval for conveying data packets between the EI and IMD and monitors a connection criteria that includes at least one of a data throughput requirement. A battery indicator or link condition of the communications link is between the IMD and EI. The method further changes from the first connection interval to a second connection interval based on the connection criteria.

Abstract: Methods and devices for establishing secure communications with an implantable medical device (IMD) are provided. The method and devices receive a credential from an external instrument (EI). The credential is signed utilizing a private key, and the credential includes at least two of a credential time to live (TTL) indicator, an IMD Identifier (ID), and an EI ID. The method and device authenticate the credential using a public key and verify the at least two of the TTL indicator, the IMD ID, and the EI ID. The method and device establish a secure communications session with the EI based on the verification and authentication.

Abstract: A method is provided for establishing a communication session with an implantable medical device (“IMD”). The method includes configuring an IMD and an external device to communicate with one another through a protocol that utilizes a dedicated advertisement channel. The advertisement period and the scan period of the protocol are independent of one another such that the advertisement and scan periods at least partially overlap intermittently after a number of cycles. When the external device detects one of the advertisement notices, the method includes establishing a communications link between the external device and the IMD.

Abstract: Face model matrix training method, apparatus, and storage medium are provided. The method includes: obtaining a face image library, the face image library including k groups of face images, and each group of face images including at least one face image of at least one person, k>2, and k being an integer; separately parsing each group of the k groups of face images, and calculating a first matrix and a second matrix according to parsing results, the first matrix being an intra-group covariance matrix of facial features of each group of face images, and the second matrix being an inter-group covariance matrix of facial features of the k groups of face images; and training face model matrices according to the first matrix and the second matrix.

Abstract: Methods and devices for managing establishment of a communications link between an external instrument (EI) and an implantable medical device (IMD) are provided. The methods and devices comprise storing, in memory in at least one of the IMD or the EI an advertising schedule defining a pattern for advertisement notices. The advertisement notices are distributed un-evenly and separated by unequal advertisement intervals. The method transmits, from a transmitter in at least one of the IMD or the EI the advertisement notices. The advertisement notices are distributed as defined by the advertising schedule. The method establishes a communication session between the IMD and the EI.

Abstract: Methods and devices for managing establishment of a communications link between an external instrument (EI) and an implantable medical device (IMD) are provided. The methods and devices comprise storing, in memory in at least one of the IMD or the EI an advertising schedule defining a pattern for advertisement notices. The advertisement notices are distributed un-evenly and separated by unequal advertisement intervals. The method transmits, from a transmitter in at least one of the IMD or the EI the advertisement notices. The advertisement notices are distributed as defined by the advertising schedule. The method establishes a communication session between the IMD and the EI.

Abstract: A face liveness detection method includes outputting a prompt to complete one or more specified actions in sequence within a specified time period, obtaining a face video, detecting a reference face image frame in the face video using a face detection method, locating a facial keypoint in the reference face image frame, tracking the facial keypoint in one or more subsequent face image frames, determining a state parameter of one of the one or more specified actions using a continuity analysis method according to the facial keypoint, and determining whether the one of the one or more specified actions is completed according to a continuity of the state parameter.

Abstract: Face model matrix training method, apparatus, and storage medium are provided. The method includes: obtaining a face image library, the face image library including k groups of face images, and each group of face images including at least one face image of at least one person, k>2, and k being an integer; separately parsing each group of the k groups of face images, and calculating a first matrix and a second matrix according to parsing results, the first matrix being an intra-group covariance matrix of facial features of each group of face images, and the second matrix being an inter-group covariance matrix of facial features of the k groups of face images; and training face model matrices according to the first matrix and the second matrix.

Abstract: Example electronic devices, including but not limited to implantable medical devices, and methods employing dynamic announcing for creation of wireless communication connections are disclosed herein. In an example, an electronic device includes a wireless communication interface to transmit announcement signals for creating a wireless communication connection with the external device. The electronic device also includes a sensor to detect a characteristic of an environment external to the electronic device, and a control circuit including an announcement timing control module to dynamically control timing of the announcement signals based on the detected characteristic.

Abstract: Systems and methods are provided for establishing a bi-directional communication link with an implantable medical device. The systems and methods include an implantable medical device (IMD) and an external instrument configured to establish a wireless bi-directional communication link there between over a wireless protocol. The wireless bi-directional communication link is established based on a scanning interval. The external instrument includes one or more processors electrically coupled to a radio frequency (RF) circuit and a memory device. The one or more processors are configured to define the scanning interval based on an advertising schedule received from the IMD.

Abstract: A statistical parameter modeling method is performed by a server. After obtaining model training data, the model training data including a text feature sequence and a corresponding original speech sample sequence, the server inputs an original vector matrix formed by matching a text feature sample point in the text feature sample sequence with a speech sample point in the original speech sample sequence into a statistical parameter model for training and then performs non-linear mapping calculation on the original vector matrix in a hidden layer, to output a corresponding prediction speech sample point. The server then obtains a model parameter of the statistical parameter model according to the prediction speech sample point and a corresponding original speech sample point by using a smallest difference principle, to obtain a corresponding target statistical parameter model.

Abstract: A facial tracking method is provided. The method includes: obtaining, from a video stream, an image that currently needs to be processed as a current image frame; and obtaining coordinates of facial key points in a previous image frame and a confidence level corresponding to the previous image frame. The method also includes calculating coordinates of facial key points in the current image frame according to the coordinates of the facial key points in the previous image frame when the confidence level is higher than a preset threshold; and performing multi-face recognition on the current image frame according to the coordinates of the facial key points in the current image frame. The method also includes calculating a confidence level of the coordinates of the facial key points in the current image frame, and returning to process a next frame until recognition on all image frames is completed.