The invention relates to a system for determining a value representing a sleep quality, wherein the system has an evaluation device (10) for connecting to at least one sensor (11), which can be coupled to a piece of sleep or rest furniture for detecting vibrations, movement and/or sound in order to extract physiological data (12) of at least one person using the piece of sleep or rest furniture. The system is characterized in that at least one additional sensor (21) is provided on the sleep or rest furniture or in an environment of the sleep or rest furniture, which sensor is designed for detecting environmental parameters (5).

Sleep performance systems and methods of using the same are disclosed. The sleep performance systems can improve the quality of sleep by making one or more recommendations to the subject for increasing a sleep quality score. The sleep performance systems can have one or more electroencephalography (EEG) electrodes configured to measure a subject's brain activity during sleep. The sleep performance systems can have a processor configured to quantify the quality of the subject's slow-wave sleep by determining one or more sleep performance scores associated with the measured brain activity. The sleep performance systems can recommend and/or activate sleep improvement programs based on various threshold scores.

A method for guiding deep breathing may include receiving a request from a user to initiate a deep breathing exercise on a user-controlled device. The method may include monitoring deep breathing using one or more sensors on an ear-worn device in response to initiating the deep breathing exercise. Examples of sensors include at least one of a motion detector, a microphone, a heart rate sensor, and an electrophysiological sensor. The method may further include initiating an end to the deep breathing exercise. The method may be used with various hearing systems including an ear-worn device and optionally a user-controllable device, such as a smartphone.

A human body sensing mat for sensing the movement of a human body, comprises: a substrate; a sensor array including a plurality of fiber sensors for generating signals according to a distance to a specific object, and disposed on the substrate; and a driving unit for applying a voltage to the sensor array, wherein the sensor array includes a plurality of sensing lines arranged in parallel in a first direction, and regarding the plurality of sensing lines, a first distance between neighboring sensing lines connected to different electrodes is greater than a second distance between neighboring sensing lines connected to the same electrode. The human body sensing mat can analyze user's movements and biometric signals regardless of the user's posture.

The present invention relates to a method of operating a smart mattress system for preventing snoring which can stop snoring of a user, wherein an air mattress and an air pillow interlock with a user terminal so that a user can easily control the air mattress and the air pillow.

Systems and methods for enhancing wellness in a habitable space are provided. In some forms, an example system for enhancing wellness in a habitable space includes a control system having a processor, communication circuitry, and a memory. The communication circuitry of the control system is configured to communicate with one or more devices positioned within the habitable space. One or more sensors may also be positioned proximate the habitable space to detect indicia (e.g., biometric characteristics of a user, behavioral characteristics of a user, and environmental characteristics) and communicate the detected indicia to the control system. Based at least in part on the detected indicia, the control system is configured to trigger initiation of a scene in the habitable space by communicating a signal to at least one of the devices in the habitable space to adjust operation thereof.

Devices, systems, and methods can be used to suggest a discovery to an individual related to their health and wellness, including receiving data about the individual from a user interface regarding a goal for the individual, querying the individual regarding their perception of the goal, determining, a likely state of the individual (e.g., readiness to change), and selecting a subset of discoveries to display to the individual from a database that correspond to both the goal for the individual and the likely state of the individual. Displaying information may include receiving motion data including duration of motion, classifying a type of activity the individual is engaged in based on the motion data and likely intensity of the activity, and displaying a graphical user interface including a color spectrum, depending on one of the type of activity, intensity of the activity, or duration of the activity.

A system for monitoring a sleep of a user includes a plurality of patches for placement adjacent to a surface of a body of a user, a processor, and a data communication system. Each patch from the plurality of patches includes at least one sensor. The data communication system transmits positional data generated by the plurality of sensors, including orientation data and motion data, to the processor. The processing of the positional data includes detecting a change in position of the body of the user between a first position and a second position. Based on the first image and the second image, an animation of a movement of the body from the first position to the second position is generated.

A computer system for assessing sound to analyze a user's sleep includes a processor configured to perform operations including: (i) storing sample sound data associated with a plurality of sample sleep events, the sample sound data including a plurality of sample characteristics each respectively associated with at least one sample sleep event of the plurality of sample sleep events; (ii) receiving, from a client device, subject sound data collected during a sleep interval; (iii) analyzing, using a machine learning algorithm, the subject sound data collected during the sleep interval; (iv) identifying, based upon the analyzing, a subject characteristic associated with the subject sound data; (v) comparing the subject characteristic with the plurality of sample characteristics; and (vi) determining, based upon the comparing, whether the subject characteristic substantially matches at least one sample characteristic to identify one or more subject sleep events occurring during the sleep interval.

Example inventions detect an occurrence of disturbance during a sleep period of a user. Examples receive data corresponding to a single parameter of the user during the sleep period, determine patterns in the data, and based on the patterns, determine a sleep disturbance severity index (“SDSI”) over the sleep period.