Various embodiments of an apparatus, methods, systems and computer program products described herein are directed to an Analytics Engine that receives one more signal files that include neural signal data of a user based on voltages detected by one or more electrodes on a set of headphones worn by a user. The Analytics Engine preprocesses the data, extracts features from the received data, and feeds the extracted features into one or more machine learning models to generate determined output that corresponds to at least one of a current mental state of the user and a type of facial gesture performed by the user. The Analytics Engine sends the determined output to a computing device to perform an action based on the determined output.

The present disclosure discloses a method for displaying a motion monitoring interface. The method includes: obtaining a movement signal during a motion of a user from at least one sensor, wherein the movement signal at least includes an electromyographic signal or an attitude signal; determining information related to the motion of the user by processing the movement signal; and displaying the information related to the motion of the user.

Methods, systems, and devices for controlling external devices are described. A method may include receiving physiological data associated with a user from a wearable device, and identifying one or more physiological states, physical activities, or both, associated with the user based on the physiological data. Physiological states may include physiological states associated with waking up, falling asleep, anxiety, relaxation, and the like. The method may further include transmitting an instruction to one or more external devices based on the one or more physiological states, physical activities, or both, where the instruction is configured to selectively modify one or more operational parameters associated with the one or more external devices.

Methods, systems, and devices for temperature analysis are described. The method may include receiving physiological data associated with a user collected via a first set of sensors of a wearable device. The physiological data may include skin temperature data. The method may include receiving surrounding temperature data associated with an environment surrounding the user. The surrounding temperature data may be collected via the first set of sensors, a second set of sensors, or both. The method may additionally include identifying one or more physiological characteristics associated with the user based at least in part on a comparison of the skin temperature data and the surrounding temperature data, and causing a graphical user interface (GUI) of a user device to display an indication of the one or more physiological characteristics, a message or alert associated with the one or more physiological characteristics, or both.

Aspects relate to a portable device that may be used to identify a critical intensity and an anaerobic work capacity of an individual. The device may utilize muscle oxygen sensor data, speed data, or power data. The device may utilize data from multiple exercise sessions, or may utilize data from a single exercise session. The device may additionally estimate a critical intensity from a previous race time input from a user.

Aspects relate to a portable device that may be used to identify a critical intensity and an anaerobic work capacity of an individual. The device may utilize muscle oxygen sensor data, speed data, or power data. The device may utilize data from multiple exercise sessions, or may utilize data from a single exercise session. The device may additionally estimate a critical intensity from a previous race time input from a user.

The invention provides methods and systems for the treatment and diagnosis of pathologic disorders by modulating a physiological state of a target biological entity via exposure of the target entity to a single or a plurality of triggered entities and for transferring of information in a non-direct way and as part of virtual reality interactive environment.

Techniques are provided for tracking heartrate metrics using different operating modes associated with different contexts of a wearable device. For example, a heartrate sensor of the wearable device may be operated in a first operating mode when an activity is being tracked within an application session of a particular application. The heartrate sensor may be operated in a second operating mode after detecting conclusion of the activity within the activity session (e.g., during sedentary time).

A bed has a mattress. A sensor is configured to sense sleep readings of a user sleeping on the bed. An automation controller is configured to transmit the sleep readings to a cloud service. Hardware hosting the cloud service is configured to compare the sleep readings with trend data in order to generate adjustments to the user's sleep environment.

A processing device in one embodiment is configured to generate a first sound cue of a first type, the first sound cue comprising a primary entrainment cue for an entrainment sonification system, to generate one or more additional sound cues of a second type, each of the one or more additional sound cues comprising an auxiliary entrainment cue for the entrainment sonification system, to provide the first sound cue and the one or more additional sound cues to one or more audio devices of the entrainment sonification system for generation of sound for audible presentation to a user, to receive from one or more sensors of the entrainment sonification system one or more feedback signals, and to adjust one or more characteristics of at least one of the first sound cue and the one or more additional sound cues based at least in part on the one or more received feedback signals.