Abstract: The technology involves scaffold structures used for in-ear sensor systems. Such systems that can perform biometric signal detection or act as a human-computer interface. Scaffolding arrangements minimize the amount of material placed in the ear while providing a secure fitting device that can be worn for hours, days or longer in order to provide maximal benefit to the wearer. The scaffolding includes a “C”-shaped arcuate curvature for at least part of the housing. This configuration can act as a natural leaf spring to help maintain the housing in contact with different points along the ear. Sensors are located along various points of the scaffolding for use in different diagnostic situations. Different components of an on-board sensor input and processing system can be distributed along different parts of the scaffolding. Such structures beneficially minimize ambient sound occlusion and avoid the need of an exterior strap or clip worn around the ear.

Abstract: The technology involves scaffold structures used for in-ear sensor systems. Such systems that can perform biometric signal detection or act as a human-computer interface. Scaffolding arrangements minimize the amount of material placed in the ear while providing a secure fitting device that can be worn for hours, days or longer in order to provide maximal benefit to the wearer. The scaffolding includes a “C”-shaped arcuate curvature for at least part of the housing. This configuration can act as a natural leaf spring to help maintain the housing in contact with different points along the ear. Sensors are located along various points of the scaffolding for use in different diagnostic situations. Different components of an on-board sensor input and processing system can be distributed along different parts of the scaffolding. Such structures beneficially minimize ambient sound occlusion and avoid the need of an exterior strap or clip worn around the ear.

Abstract: The technology involves scaffold structures used for in-ear sensor systems. Such systems that can perform biometric signal detection or act as a human-computer interface. Scaffolding arrangements minimize the amount of material placed in the ear while providing a secure fitting device that can be worn for hours, days or longer in order to provide maximal benefit to the wearer. The scaffolding includes a “C”-shaped arcuate curvature for at least part of the housing. This configuration can act as a natural leaf spring to help maintain the housing in contact with different points along the ear. Sensors are located along various points of the scaffolding for use in different diagnostic situations. Different components of an on-board sensor input and processing system can be distributed along different parts of the scaffolding. Such structures beneficially minimize ambient sound occlusion and avoid the need of an exterior strap or clip worn around the ear.

Abstract: Systems and devices are disclosed herein that provide or relate to modular accessory devices for a wearable device, such as a glasses-style head-mountable device (HMD). Illustrative systems may include a first frame component having an accessory slot accessible via an entry point on a transverse surface of the first frame component, a second frame component movably coupled to the first frame component, and one or more accessory devices that each have a slot-mating feature shaped for insertion into and removal from the accessory slot via the entry point. The second frame component may be movable between a first position in which the second frame component blocks access to the entry point, and a second position in which the second frame component allows access to the entry point.

Abstract: Provided herein is a platform for prediction based on extraction of features and observations collected from a large number of disparate data sources that uses machine learning to reinforce quality of collection, prediction and action based on those predictions.

Abstract: The invention comprises systems, methods, and devices capable of deriving and predicting the occurrence of a number of physiological and conditional states and events based on sensed data. The systems, methods, and devices utilize the predicted and derived states for a number of health and wellness related applications including the administering therapy and providing actionable data for lifestyle and health improvement.

Abstract: Various methods and apparatuses for measuring a state parameter of an individual using signals based on one or more sensors are disclosed. In one embodiment, a first set of signals is used in a first function to determine how a second set of signals is used in one or more second functions to predict the state parameter. In another embodiment, first and second functions are used where the state parameter or an indicator of the state parameter may be obtained from a relationship between the first function and the second function. The state parameter may, for example, include calories consumed or calories burned by the individual. Various methods for making such apparatuses are also disclosed.

Abstract: Embodiments relate generally to wearable computing devices in capturing and deriving physiological characteristic data. More specifically, disclosed are one or more electrodes and methods to determine physiological characteristics using a wearable device (or carried device) and one or more sensors. In one embodiment, a method includes determining a drive signal magnitude for a bioimpedance signal to capture data representing a physiological-related component and selecting the drive signal magnitude as a function of an impedance of a tissue. The bioimpedance signal can be applied to electrodes that are configured to convey the bioimpedance signal to the tissue. In some cases, data representing a value a signal-to-noise (“SNR”) ratio may be adapted to form an adaptive signal-to-noise value. A portion of a received bioimpedance signal may be detected, the received bioimpedance signal being based on the adaptive signal-to-noise value. A physiological characteristic can be derived.

Abstract: Various methods and apparatuses for measuring a state parameter of an individual using signals based on one or more sensors are disclosed. In one embodiment, a first set of signals is used in a first function to determine how a second set of signals is used in one or more second functions to predict the state parameter. In another embodiment, first and second functions are used where the state parameter or an indicator of the state parameter may be obtained from a relationship between the first function and the second function. The state parameter may, for example, include calories consumed or calories burned by the individual. Various methods for making such apparatuses are also disclosed.

Abstract: Various methods and apparatuses for measuring a state parameter of an individual using signals based on one or more sensors are disclosed. In one embodiment, a first set of signals is used in a first function to determine how a second set of signals is used in one or more second functions to predict the state parameter. In another embodiment, first and second functions are used where the state parameter or an indicator of the state parameter may be obtained from a relationship between the first function and the second function. The state parameter may, for example, include calories consumed or calories burned by the individual. Various methods for making such apparatuses are also disclosed.

Abstract: Various methods and apparatuses for measuring a state parameter of an individual using signals based on one or more sensors are disclosed. In one embodiment, a first set of signals is used in a first function to determine how a second set of signals is used in one or more second functions to predict the state parameter. In another embodiment, first and second functions are used where the state parameter or an indicator of the state parameter may be obtained from a relationship between the first function and the second function. The state parameter may, for example, include calories consumed or calories burned by the individual. Various methods for making such apparatuses are also disclosed.

Abstract: A monitoring apparatus that includes a sensor device and an I/O device in communication with the sensor device that generates derived data using the data from the sensor device. The derived data cannot be directly detected by the associated sensors. Alternatively, an apparatus that includes a wearable sensor device and an I/O device in communication with the sensor device that includes means for displaying information and a dial for entering information. Alternatively, an apparatus for tracking caloric consumption and caloric expenditure data that includes a sensor device and an I/O device in communication with the sensor device. The sensor device includes a processor programmed to generate data relating to caloric expenditure from sensor data. Alternatively, an apparatus for tracking caloric information for an individual that utilizes a plurality of classification identifiers for classifying meals consumed by the individual, each of the classification identifiers having a corresponding caloric amount.

Abstract: A monitoring system comprises a module having at least one sensor and preferably skin and ambient temperature sensors within a housing. The device may be durable or disposable. The housing may be provided with certain surface features and shapes to facilitate mounting on and interface with the skin of the wearer for more accurate temperature measurement. A receiver may be provided to obtain and display data from the module. The module may also display the output data. The output data comprises both detected and derived data relating to physiological and contextual parameters of the wearer and may be transmitted directly to a local recipient or remotely over a communications network. The system is capable of deriving and predicting the occurrence of a number of physiological and conditional states and events and reporting the same as output data.

Abstract: Various methods and apparatuses for measuring a state parameter of an individual using signals based on one or more sensors are disclosed. In one embodiment, a first set of signals is used in a first function to determine how a second set of signals is used in one or more second functions to predict the state parameter. In another embodiment, first and second functions are used where the state parameter or an indicator of the state parameter may be obtained from a relationship between the first function and the second function. The state parameter may, for example, include calories consumed or calories burned by the individual. Various methods for making such apparatuses are also disclosed.

Abstract: A method and apparatus is provided to detect the physiological and environmental status of an individual. The apparatus comprises a pod which is worn within a proximity zone of the body such that the mobility and flexibility of the body are not deleteriously affected by the presence of the apparatus. The system permits the dynamic monitoring of human physiological and environmental status data without substantial interference in human motion and flexibility. Sensors and processors are mounted within said pod.

Abstract: Various methods and apparatuses for measuring a state parameter of an individual using signals based on one or more sensors are disclosed. In one embodiment, a first set of signals is used in a first function to determine how a second set of signals is used in one or more second functions to predict the state parameter. In another embodiment, first and second functions are used where the state parameter or an indicator of the state parameter may be obtained from a relationship between the first function and the second function. The state parameter may, for example, include calories consumed or calories burned by the individual. Various methods for making such apparatuses are also disclosed.

Abstract: A monitoring apparatus that includes a sensor device and an I/O device in communication with the sensor device that generates derived data using the data from the sensor device. The derived data cannot be directly detected by the associated sensors. Alternatively, an apparatus that includes a wearable sensor device and an I/O device in communication with the sensor device that includes means for displaying information and a dial for entering information. Alternatively, an apparatus for tracking caloric consumption and caloric expenditure data that includes a sensor device and an I/O device in communication with the sensor device. The sensor device includes a processor programmed to generate data relating to caloric expenditure from sensor data. Alternatively, an apparatus for tracking caloric information for an individual that utilizes a plurality of classification identifiers for classifying meals consumed by the individual, each of the classification identifiers having a corresponding caloric amount.

Abstract: Provided herein is a platform for prediction based on extraction of features and observations collected from a large number of disparate data sources that uses machine learning to reinforce quality of collection, prediction and action based on those predictions.

Abstract: A monitoring apparatus that includes a sensor device and an I/O device in communication with the sensor device that generates derived data using the data from the sensor device. The derived data cannot be directly detected by the associated sensors. Alternatively, an apparatus that includes a wearable sensor device and an I/O device in communication with the sensor device that includes means for displaying information and a dial for entering information. Alternatively, an apparatus for tracking caloric consumption and caloric expenditure data that includes a sensor device and an I/O device in communication with the sensor device. The sensor device includes a processor programmed to generate data relating to caloric expenditure from sensor data. Alternatively, an apparatus for tracking caloric information for an individual that utilizes a plurality of classification identifiers for classifying meals consumed by the individual, each of the classification identifiers having a corresponding caloric amount.