A method of authentication of a user is provided. The method comprises capturing a brain activity signal from a user; comparing the brain activity signal with reference data; and determining, based at least in part on the comparison, whether the identity of the user can be confirmed. Also provided is a computing device comprising at least one processor and at least one memory. The computing device is adapted to: communicate with a brain activity sensing system to capture a brain activity signal from the user; provide the captured brain activity signal to an authentication service computing system; and authenticate the user based at least in part on the result of a comparison with reference data received from the authentication service computing system. A system comprising the computing device and a brain activity sensing system, and am authentication service computing device are also provided.

In order to objectively grasp a stress state of a user and to prevent postpartum depression, biological gas information is acquired via a network, where the biological gas information indicates a concentration of tetradecane of the user and is obtained by a sensor that detects tetradecane released from a skin surface of the user. From a memory storing information including an upper limit of a normal range of the concentration of tetradecane per unit period, the information indicating the upper limit of the normal range is read out. When a frequency in the unit period with which the concentration of tetradecane of the user exceeds the upper limit of the normal range is determined to have an increasing tendency based on the biological gas information obtained during a pregnancy period of the user, the information related to stress of the user is output to an information terminal of the user.

In order to objectively grasp a stress state of a user and to prevent postpartum depression, biological gas information is acquired via a network, where the biological gas information indicates a concentration of tetradecane of the user and is obtained by a sensor that detects tetradecane released from a skin surface of the user. From a memory storing information including an upper limit of a normal range of the concentration of tetradecane per unit period, the information indicating the upper limit of the normal range is read out. When a frequency in the unit period with which the concentration of tetradecane of the user exceeds the upper limit of the normal range is determined to have an increasing tendency based on the biological gas information obtained during a pregnancy period of the user, the information related to stress of the user is output to an information terminal of the user.

Certain aspects of the disclosure are directed to an apparatus including a scale and risk-assessment circuitry which is configured to assess a condition likely linked to the user. The scale includes a platform, and data-procurement circuitry for collecting signals specific to the user and cardio-physiological measurements. The scale includes processing circuitry to process data obtained by the data-procurement circuitry, therefrom generates cardio-related physiologic data, and sends an alert of the condition. The risk-assessment circuitry identifies a risk that the user has a condition based on the reference information and the user data provided by the scale and outputs generic information correlating to the condition to the scale that is tailored based on the identified risk.

Certain aspects of the disclosure are directed to an apparatus including a scale and risk-assessment circuitry which is configured to assess a condition likely linked to the user. The scale includes a platform, and data-procurement circuitry for collecting signals specific to the user and cardio-physiological measurements. The scale includes processing circuitry to process data obtained by the data-procurement circuitry, therefrom generates cardio-related physiologic data, and sends an alert of the condition. The risk-assessment circuitry identifies a risk that the user has a condition based on the reference information and the user data provided by the scale and outputs generic information correlating to the condition to the scale that is tailored based on the identified risk.

A physiological electric signal classification processing method includes: performing data alignment on an initial physiological electric signal corresponding to a target user identity based on target signal spatial information corresponding to the target user identify to obtain a target physiological electric signal; performing spatial feature extraction on the target physiological electric signal based on a target spatial filtering matrix to obtain a target spatial feature, the target spatial filtering matrix being generated based on target training physiological electric signals corresponding to a plurality of training user identities respectively and training labels corresponding to the target training physiological electric signals, the target training physiological electric signals being obtained by performing data alignment on initial training physiological electric signals based on training signal spatial information corresponding to the training user identities; and obtaining a classification result corresponding to the initial physiological electric signal based on the target spatial feature.

A physiological electric signal classification processing method includes: performing data alignment on an initial physiological electric signal corresponding to a target user identity based on target signal spatial information corresponding to the target user identify to obtain a target physiological electric signal; performing spatial feature extraction on the target physiological electric signal based on a target spatial filtering matrix to obtain a target spatial feature, the target spatial filtering matrix being generated based on target training physiological electric signals corresponding to a plurality of training user identities respectively and training labels corresponding to the target training physiological electric signals, the target training physiological electric signals being obtained by performing data alignment on initial training physiological electric signals based on training signal spatial information corresponding to the training user identities; and obtaining a classification result corresponding to the initial physiological electric signal based on the target spatial feature.

In one embodiment of the present disclosure, an ingestible medication device is a self-contained electronic device that stores an active agent, and that controls release of the active agent using an on board processor. The ingestible medication device embodies one or more ingestible device identifiers, including personal identifiers and active agent identifiers, which are compared with external device identifiers to determine whether to release the active agent. A method for managing an ingestible medication device detects proximity to a limited range, RFID-enabled patient wristband, indicating that the wristband is worn by the patient that ingested the ingestible medication device. Various methods enable a nurse to track medication information to monitor compliance with medication regimen and dosage information. Other methods track an ingestible medication device selected for filling a prescription at a pharmacy of the health care provider, including transfer to a caregiver station using a transport cart.

An iris recognition apparatus is provided with: an irradiating device that is capable of irradiating light to a target person to be recognized; an acquiring device that acquires a first image which imaged a first imaging range including at least a face of the target person; and a determining device that determines an irradiation mode of light irradiated from the irradiating device to the target person when imaging a second image including an area, which includes an eye of the target person, and corresponding to a second imaging range, which is narrower than the first imaging range, based on the first image.

An authentication device includes: a wearing position determination unit that determines a wearing position, the wearing position being a position at which a wearable article comprising a sensor is being worn on a body; and an authentication unit that performs authentication by using biometric information of the body, the biometric information being detected by the sensor at the wearing position.