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: Method, apparatus and system for determining a wearing position of a wearable device. The method includes receiving motion data from a wearable device associated with an individual, wherein the motion data comprises a first data segment and a second data segment, the first data segment associated with walking, and the second data segment associated with non-walking. The method further includes determining first characteristic data associated with the first data segment and second characteristic data associated with the second data segment. The method further includes determining, by a computing device, a wearing position of the wearable device associated with the individual based on the first characteristic data and a match between the second characteristic data and an activity signature associated with a time of day.

Abstract: A method includes: receiving sensor data representing a subject within a field of vision associated with respective ones of a plurality of modular cameras associated with a composite camera and one or more geo-spatial characteristics associated with respective ones of the plurality of modular cameras; determining an arrangement of the composite camera based on the sensor data; generating digital content for respective ones of the plurality of modular cameras based on the sensor data; and generating combined digital content that represents a subject within a field of vision associated with the composite camera based on the digital content and the arrangement of the composite camera, wherein the field of vision associated with the composite camera includes at least some of fields of vision associated with the plurality of modular cameras.

Abstract: A wearable biometric measurement device includes a ring body having interior and exterior surfaces, an electrocardiogram component including first and second electrodes wherein a single lead electrocardiogram is formed upon contact with the first electrode and the second electrode, a pulse oximeter component including a light emitter and a photodetector wherein the photodetector receives one or more signals transmitted by the light emitter, and a communication component. A system for measuring and processing biometric data includes a wearable biometric measurement device, a monitor device, and a server. A method for measuring biometric data using a wearable biometric measurement device includes pre-processing biometric signals, feature extraction on the signals, and event prediction with respect to the signals.

Abstract: A method for processing electrocardiograph (ECG) data using a garment includes determining, by a processor, a current working lead from ECG leads formed in advance using flexible electrodes in the garment based on a current ECG monitor type, and receiving, by the processor through lead wires corresponding to the current working lead, ECG data collected by flexible electrodes corresponding to the current working lead. A wearable apparatus for processing ECG data includes at least two flexible electrodes, in which the at least two flexible electrodes are capable of forming different leads based on predetermined configurations, at least two lead wires, and an ECG data collector configured to receive ECG data collected by the at least two flexible electrodes, in which each of the at least two flexible electrodes connects to the ECG data collector via at least one of the at least two lead wires.

Abstract: Systems, methods, and a security management apparatus, for password management including the determination of the identity of a service requesting a security token for access to the service. The security management apparatus generates personal identification data based on a personal identification input such as a touch selection or gesture, in order to access a service on a secured device. Responsive to the personal identification data satisfying an access criterion, a communication channel is established with the secured device. The identity of the service on the secured device is determined and a security token, such as a password, is sent to the secured device via the communication channel.

Abstract: Method and apparatus for processing a biometric measurement signal using a computing device, including receiving a biometric measurement signal generated by contact with a single individual, extracting at least one periodic fragment from the biometric measurement signal, generating first feature data at least partially based on the at least one extracted periodic fragment, determining second feature data from the first feature data by removing data from the first feature data using robust principal component analysis, determining whether a match exists between the second feature data and defined biometric data associated with a known individual by processing the second feature data and the defined biometric data using a machine learning technique, and in response to determining a match exists between the second feature data and the defined biometric data, transmitting a signal indicating that the single individual is the known individual.

Abstract: Monitoring heart activity using a wearable device, including receiving, from the wearable device, an electrocardiograph (ECG) signal and a motion signal associated with an individual upon contact with the wearable device; in response to receiving the ECG signal and the motion signal associated with the individual, determining, by a computing device, a position of the wearable device in contact with the individual; and determining, by the computing device, a heart activity monitoring mode for operating the wearable device, based on the position of the wearable device in contact with the individual.

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: Systems, methods, and an event detection apparatus, for the detection of an imminent adverse physiological event, such as an epileptic seizure or cardiac event. Physiological state data can be generated based on at least one of pre-processed physiological state data, electrocardiogram (ECG) signals, and motion sensor signals. A plurality of features from the physiological state data can be extracted. The plurality of features can be classified based on a predetermined classifier. Responsive to the plurality of features corresponding to at least one of a plurality of adverse physiological event profiles, an adverse physiological event can be determined to be imminent.

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 measuring body movement with a wearable device. The method includes receiving, from a magnetic sensor of the wearable device, first signal data indicative of a magnetic field of a wearable magnet, wherein the wearable device is placed on a first body segment and the wearable magnet is placed on a second body segment; determining, by a computing device based on the first signal data, a distance metric indicative of a relative distance between the wearable magnet and the wearable device, and an orientation metric indicative of an orientation relative to the wearable magnet; and determining a biomechanical model based on the type of body segment for the first body segment and the second body segment, wherein the biomechanical model includes a relationship constraint between the distance metric and the orientation metric.

Abstract: A wearable device notification framework includes devices configured to generate and transmit messages. Measurement data and location data generated based on an event can be received by a server device from a wearable device or a connected device configured to receive data from the wearable device and relay the data to the server device. The measurement data can indicate values generated using one or more sensors of the wearable device, and the location data can indicate a geolocation of the wearable device as of the event. An address-based location corresponding to the location data can then be identified by querying a map service for map data based on the location data. The address-based location can correspond to one of an on-road or off-road location of the wearable device. A message can then be generated using the measurement data and the address-based location and transmitted to a recipient device.

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.