Disclosed are systems and methods for determining daytime alertness of users. A system can include at least one sensor for sensing physical phenomenon of a user and a computer system. The computer system can receive, from the sensor, sensor readings of the user during a sleep session, provide, as input, the sensor readings to a model that was trained to predict alertness levels of the user based on physical phenomenon of the user and/or historic data about the user and/or a population of users, receive, as output from the model, data indicating predicted alertness levels of the user for a period of time, determine behavior suggestions for the user based on the predicted alertness levels for the period of time, and generate output to be presented in a graphical user interface display to the user including at least one of (i) the predicted alertness levels and (ii) the behavior suggestions.

An apparatus for estimating blood pressure may include a sensor configured to measure a bio-signal from an object; and a processor configured to: obtain a cardiac output (CO) feature based on the bio-signal; obtain a total peripheral resistance (TPR) feature by combining an amplitude of a propagation wave component and amplitudes of at least two reflection wave components of the bio-signal, in response to a variation of the CO feature at a blood pressure measurement time relative to a calibration time, being within a predetermined range; obtain the TPR feature by combining the amplitude of the propagation wave component and an amplitude of one reflection wave component of the at least two reflection wave components, in response to the variation of the CO feature not being within the predetermined range; and estimate blood pressure based on the CO feature and the TPR feature.

Methods and apparatus to charge biomedical devices are described. In some examples, a biometric-based information communication system comprises biomedical devices with sensing means, wherein the sensing means produces a biometric result and wherein the biomedical device is charged with a wireless charging system. In some examples, the charging system may beam energy to the biomedical device. In some examples, the charging system beams energy to the area surrounding the biomedical device.

To determine impairment due to drugs or alcohol, an image capture component captures video of at least a head of a test subject. Cropped head images of the head of the test subject are extracted from sequential images of the video. For each cropped head image, a gaze angle of the test subject is determined from the cropped head image. The determined gaze angles are analyzed to determine horizontal nystagmus and/or angle of onset of nystagmus. A level of impairment of the test subject is determined from the horizontal nystagmus and/or angle of onset of nystagmus. A visual representation of the level of impairment of the test subject is generated on an associated display.

The present disclosure generally relates to navigating, viewing, and sharing activity and workout data and interacting with workout and/or activity applications. In some examples, scrolling of activity data is based on the content being displayed. In some examples, friends' activity data may be viewed. In some examples, a notification and workout data for a friend's completed workout is received and displayed. In some example, the activity data received from friends is viewed and managed. In some examples, workout data for a multi-segment workout is displayed in a three-dimensional stack on a map. In some examples, a workout application operates in a limited mode until a touch input is received with a characteristic intensity that is greater than a threshold intensity.

Some embodiments are directed to a portable electronic device for analyzing an analyte. The portable electronic device includes a housing, an adapter detachably coupled to the housing and a processor disposed in the housing. The adapter includes a body defining an opening for receiving a test strip and an interface port disposed within the body. The interface port is configured to read a signal from the test strip. The processor is communicably coupled to the interface port. The processor is configured to determine at least one parameter of the analyte based on the signal received from the interface port.

System, methods and electronic devices aimed at motivating users to perform physical activity are disclosed herein. A user may be presented with a series of physical and cognitive exercises. For example, an exercise may be locked until completion of an unlocked exercise. Performance in each exercise may be tracked to display feedback to a user and track the user's improvement over time. Physical exercises may comprise challenges to move a particular distance or take a particular number of steps. Cognitive exercises comprise techniques test or train the cognitive abilities of the user in: attention, memory, processing speed, logical reasoning, numerical reasoning, spatial reasoning, verbal reasoning, language, and cognitive executive functions. Performance in one exercise may modify the difficulty or parameters of a subsequent exercise. The tracking of user improvement may comprise a progress or reward system such as the increasing of a user's “level” or awarding of “badges.”

Apparatus and methods are provided for determining, recommending, and applying a calibration parameter to collected activity data. In one embodiment, calibration parameter is estimated based on physical aspects of the user and automatically applied to collected data. In another embodiment, the calibration parameter is determined based on secondary data which is more precise than the data which is collected. The calibration factor based on the more precise data may comprise a recommended calibration factor, yet the user may be enabled to select any calibration factor he/she prefers via an interactive display. In one specific variant, the activity comprises a walk or run activity of the user, and the calibration parameter comprises the user's specific stride length. In another variant, the user selects a calibration factor by reviewing a list of previous activity against that same activity after calibration given a particular calibration factor is applied.

Sensor arrays are provided for sensing pressure and/or moisture over a two-dimensional sensing surface. The sensor arrays comprise ionically conductive materials. Individual sensor elements s in the sensor arrays may comprise piezoionic ionically conductive materials, piezoresistive ionically conductive materials and/or capacitive sensor elements having electrodes fabricated from ionically conductive materials. Two-dimensional pressure maps and/or moisture maps of the sensing surface may be obtained by implementing methods comprising scanning over individual sensor elements in the sensor arrays.

A garment being worn by a user is optimized by altering a feature of a garment including texture, shape and size, while the garment is still being worn by the user.