Abstract: A wearable device is provided. The wearable device includes at least one motion sensor operable to detect one or more motion signals, a processor coupled to the at least one motion sensor, one or more biological sensors coupled to the processor and operable to detect one or more biological indicators of a user, and a memory configured to store instructions executable by the processor. The instructions, when executed, are operable to: obtain at least one of the one or more biological indicators of the user; correlate the at least one biological indicators of the user with the detected one or more motion signals; and determine that a drink event is detected based on the correlation between the detected one or more motion signals and the at least one biological indicators.

Abstract: A wearable device is provided. The wearable device includes at least one motion sensor operable to detect one or more motion signals, a processor coupled to the at least one motion sensor, one or more biological sensors coupled to the processor and operable to detect one or more biological indicators of a user, and a memory configured to store instructions executable by the processor. The instructions, when executed, are operable to: obtain at least one of the one or more biological indicators of the user; correlate the at least one biological indicators of the user with the detected one or more motion signals; and determine that a drink event is detected based on the correlation between the detected one or more motion signals and the at least one biological indicators.

Abstract: Provided herein are methods and devices configured to detect the heart rate of a user. The method includes receiving at least one input signal, separating the input signal into signal components, receiving a motion signal from the user, and applying a Bayesian filter to the signal components and the motion signal to estimate the heart rate of the user. The method further includes calculating a combination of at least two reflected light signals from at least two different wavelengths. The device includes a photodetector configured to detect at least one reflected light signal resulting from the emitted at least two different wavelengths and a motion detector for detecting a motion signal. The device also includes a processing component configured to calculate a combination of the reflected light signals, separate the combination of detected light signals into signal components, and apply a Bayesian filter to the signals.

Abstract: A wearable device is provided. The wearable device includes at least one motion sensor operable to detect one or more motion signals, a processor coupled to the at least one motion sensor, one or more biological sensors coupled to the processor and operable to detect one or more biological indicators of a user, and a memory configured to store instructions executable by the processor. The instructions, when executed, are operable to: obtain at least one of the one or more biological indicators of the user; correlate the at least one biological indicators of the user with the detected one or more motion signals; and determine that a drink event is detected based on the correlation between the detected one or more motion signals and the at least one biological indicators.

Abstract: A method of monitoring an emotional state of a user including obtaining data corresponding to one or more physiological parameters of a user using one or more physiological parameters; detecting via the physiological sensors a change in at least one of the one or more physiological parameters; requesting, via a user device, an emotional state identifier corresponding to the change; and providing, via the user device, a suggested response based on the emotional state identifier.

Abstract: Sleep management apparatus including a wearable device having one or more physiological sensors operably engaged with a body of a user. One or more processors can be communicatively coupled with the wearable device having a memory storing instructions when executed operable to: detect one or more indicators of a bedtime; measure one or more physiological indicators predictive of a ready for sleep condition of the user; suggest, when one or more of the one or more physiological indicators exceed a predetermined threshold, a sleep preparation exercise; and track an effectiveness of the sleep preparation exercise.

Abstract: Stress management apparatus includes a wearable device having one or more physiological sensors operable to be engaged with a body of a user. One or more processors communicatively coupled with the wearable device having a memory storing instructions when executed operable to: detect one or more physiological indicators of stress; suggest a stress intervention to the user; monitor compliance with the stress intervention; and track a reduction of the one or more physiological indicators of stress.

Abstract: A method of monitoring hydration including obtaining biological data for a given period of time, wherein the biological data includes measurements of one or more biological indicators; converting the biological data into a baseline value; obtaining real-time biological data from one or more biological sensors; performing a pre-processing analysis of the real-time biological data; comparing the real-time biological data with baseline value to create a hydration index

Abstract: A system and method operable to monitor hydration and drink activity using one or more body-worn sensors and contextual information to more accurately detect drinking motions made by the user. The system and method can use an application encoded on a non-transitory computer-readable medium to receive disparate data from the one or more sensors to determine if the user has made a drinking motion. The analysis can be further refined using contextual information and a variable threshold to more accurately identify drinking motions.

Abstract: A method of monitoring hydration including obtaining biological data for a given period of time, wherein the biological data includes measurements of one or more biological indicators; converting the biological data into a baseline value; obtaining real-time biological data from one or more biological sensors; performing a pre-processing analysis of the real-time biological data; comparing the real-time biological data with baseline value to create a hydration index.

Abstract: Apparatus for optical tissue detection and discrimination between a tissue of a user and non-tissue materials and method of optical tissue detection and discrimination between a tissue of a user and non-tissue materials are provided. The apparatus for optical tissue detection includes one or more of light sources. The apparatus can further include at least one photodetector. A processor can be operable to determine whether the detected light is from a tissue of a user.

Abstract: A method operable to monitor hydration including pressing a finger of a user against a finger cradle of a device, creating a finger press; sensing, via at least one sensor, a finger presence; providing an alarm indicating a pressure to apply; emitting, via at least one electromagnetic emitter, radiation through the finger; detecting, via at least one electromagnetic detector, radiation through the finger; verifying, via a synchronization line, that the electromagnetic radiation is applied synchronously with one or more finger presses; converting, via at least one analog-to-digital converter, the radiation detected by the electromagnetic detector into digital information; and converting, via a processing unit, the finger pressure data and the detected electromagnetic radiation data into a hydration level using an algorithm stored on the processing unit; and conveying the hydration level to at least one alarm unit coupled with the device.

Abstract: A device configured to determine a biological indicator level in tissue. The device includes at least one emitter configured to emit light, a detector configured to receive light and transmit data representative of the received light and a processor coupled to the at least one emitter and the detector. The device further includes a non-transitory storage medium coupled to the processor and configured to store instruction to cause the device to determine a level of a biological indicator.

Abstract: Apparatus for optical tissue detection and discrimination between a tissue of a user and non-tissue materials and method of optical tissue detection and discrimination between a tissue of a user and non-tissue materials are provided. The apparatus for optical tissue detection includes one or more of light sources. The apparatus can further include at least one photodetector. A processor can be operable to determine whether the detected light is from a tissue of a user.

Abstract: A wearable device is provided. The wearable device includes at least one motion sensor operable to detect one or more motion signals, a processor coupled to the at least one motion sensor, one or more biological sensors coupled to the processor and operable to detect one or more biological indicators of a user, and a memory configured to store instructions executable by the processor. The instructions, when executed, are operable to: obtain at least one of the one or more biological indicators of the user; correlate the at least one biological indicators of the user with the detected one or more motion signals; and determine that a drink event is detected based on the correlation between the detected one or more motion signals and the at least one biological indicators.

Abstract: A device configured to determine a biological indicator level in tissue. The device includes at least one emitter configured to emit light, a detector configured to receive light and transmit data representative of the received light and a processor coupled to the at least one emitter and the detector. The device further includes a non-transitory storage medium coupled to the processor and configured to store instruction to cause the device to determine a level of a biological indicator.

Abstract: Wearable device has at least one sensor operable to detect motion of the wearable device and a biological sensor coupled to the processor and operable to detect a biological indicator of the user. Wearable is operable to obtain at least one biological indicator of the user and correlate the biological indicator of the user with the detected motion in time. Wearable is also able to determine one or more input events based on one or more of the at least one biological indicator or detected motion, each input event including an input activity and input duration and create an input log for every determined one or more inputs events, wherein the input log includes an entry for each corresponding input event that includes at least one of the input activity, input duration, and input time. In at least one example, the wearable determines a net balance of the user.

Abstract: Provided herein are methods and devices operable to monitor the hydration of a user. The wearable device for hydration monitoring includes an emitting component operable to emit light having at least three different wavelengths, a sensor operable to receive a reflected portion of the emitted light, and a processor operable to receive signals from the sensor. At least one of the wavelengths is in the range from 900 nm to 1600 nm for optical detection of a level of water. The method for hydration monitoring includes emitting light from a light emitting component operable to emit light having at least three different wavelengths and detecting light with at least one photodetector. At least three distances between the light emitting component and the photodetector are known and the at least three distances allow monitoring of at least two different tissue beds with at least two different tissue depths.

Abstract: Optical-electronic device configured to generate a calibration factor for use in determining optical density. The device includes at least one emitter configured to emit light, a detector configured to receive light and transmit data representative of the received light and a processor coupled to the at least one emitter and the detector. The device further includes a non-transitory storage medium coupled to the processor and configured to store instruction to cause the device to perform the calibration method. Additionally, a calibration container includes a main body, upper lid, and a lower lid. The main body is configured to receive the device and an object having known optical properties.

Abstract: Provided herein are methods and devices configured to detect the heart rate of a user. The method includes receiving at least one input signal, separating the input signal into signal components, receiving a motion signal from the user, and applying a Bayesian filter to the signal components and the motion signal to estimate the heart rate of the user. The method further includes calculating a combination of at least two reflected light signals from at least two different wavelengths. The device includes a photodetector configured to detect at least one reflected light signal resulting from the emitted at least two different wavelengths and a motion detector for detecting a motion signal. The device also includes a processing component configured to calculate a combination of the reflected light signals, separate the combination of detected light signals into signal components, and apply a Bayesian filter to the signals.