Abstract: Systems, methods, and detection apparatuses, for the detection of body capacitance, such as the capacitance of a human body, are disclosed. A detection apparatus determines an electronic signal characteristic of one or more electrodes. The electronic signal characteristic can be based on a voltage. Responsive to the electronic signal characteristic being within a predetermined electronic signal characteristic range, a charging mode is activated. Responsive to the electronic signal characteristic of the one or more electrodes being outside the predetermined electronic signal characteristic range, a capacitance detection mode is activated. The capacitance detection mode includes: determining a capacitance value of the one or more electrodes in which the capacitance value is based on a frequency of change in a capacitance associated with the one or more electrodes. Responsive to the capacitance of the one or more electrodes exceeding a capacitance threshold, activating a wearable mode.

Abstract: Methods, apparatuses and wearable devices for measuring an ECG signal for a user wearing a wearable device includes when the ECG signal is measured in a first mode, receiving the ECG signal by an ECG sensor from a closed circuit formed by a first ECG sensor electrode and a second ECG sensor electrode, in which the wearable device includes a main body detachable to the wearable device, a connecting portion, and electrode patches, and the main body includes the ECG sensor, the first ECG sensor electrode, and the second ECG sensor electrode, and when the ECG signal is measured in a second mode, receiving the ECG signal by the ECG sensor from a closed circuit formed by electrodes of the electrode patches, in which the ECG sensor is in the main body and the main body is connected to the electrode patches.

Abstract: A method for configuring a monitoring component for a user includes receiving an electrocardiograph (ECG) signal from an ECG component, receiving a weight signal from a scale component, and combining features extracted from the ECG signal and the weight signal to generate a current biometric signal. Responsive to the current biometric signal matching a historical biometric signal, the method includes obtaining a user profile and determining a health status for association with the user profile by classifying the current biometric signal using disease models and fitness models.

Abstract: This disclosure provides wearable-device based user-interested information determination methods, apparatuses and wearable devices. The method includes: receiving, by an electrocardiography (ECG) sensor associated with the wearable device, an ECG signal of a user, determining a feature set for the ECG signal, in which the feature set includes time-domain feature data of the ECG signal and frequency-domain feature data of the ECG signal, and determining the user-interested information based on similarity between the feature set and reference feature sets indicative of the user-interested information, in which the user-interested information includes health information associated with a disease. The wearable device includes an ECG sensor configured to receive an ECG signal and an FPGA system. The FPGA system includes modules for determine user-interested information based on the ECG signal. The apparatus includes a processor and a memory coupled to the processor.

Abstract: Methods, apparatuses and systems for controlling an alarm are set forth herein for reminding a user with assurance of sleep quality. The method includes receiving sleep information, determining a sleep status, determining whether duration of the sleep status reaches a pre-determined duration threshold, and based on a determination that the duration of the sleep status reaches the pre-determined duration threshold, outputting alarming information.

Abstract: A method, an apparatus, and a system for pushing network content includes receiving an identity of a user and a current status parameter of the user, acquiring user information associated with the identity including personal information of the user and a browsing history of the user, selecting network content according to the status parameter and the user information, and pushing the network content to a terminal device configured to display the network content.

Abstract: At least two biometric measurement signals are generated by contact with a single individual. At least one feature is extracted from each signal of the at least two biometric measurement signals, the extracted features are combined to generate a combined biometric signal. The combined biometric signal is compared with a defined biometric signal associated with a known individual, responsive to the combined biometric signal matching the defined biometric signal, a signal is transmitted indicating that the single individual is the known individual. The biometric measurement signals can be collected by a biometric identification device worn or carried by the single individual. The processing may be done by the biometric identification device or a remote server.

Abstract: Methods and apparatuses for providing feedback information to a second terminal, to avoid disturbance of data directed to a user associated with a first terminal. The method includes receiving data directed to the user associated with the first terminal, transmitting a request for a current status of the user to the wearable device, receiving broadcast packets, wherein the broadcast packets comprises an identifier of the wearable device and the current status of the user, based on the identifier of the wearable device, determining whether the wearable device has been paired with the first terminal, and if so, executing, at the first terminal, at least one feedback operation directed to the second terminal using the current status of the user to indicate the current status of the user.

Abstract: At least two biometric measurement signals are generated by contact with a single individual. At least one feature is extracted from each signal of the at least two biometric measurement signals, the extracted features are combined to generate a combined biometric signal. The combined biometric signal is compared with a defined biometric signal associated with a known individual, responsive to the combined biometric signal matching the defined biometric signal, a signal is transmitted indicating that the single individual is the known individual. The biometric measurement signals can be collected by a biometric identification device worn or carried by the single individual. The processing may be done by the biometric identification device or a remote server.