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: 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: 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: 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: 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: 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: 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: 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: 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: The invention is a system for monitoring and reporting the activity level and caloric expenditure of an individual. The system has sensors in electronic communication with a wearable device. A processor is programmed to communicate with the sensor and a computing device to activity data from movement-related data. A remote server receiving the activity data and the data from computing device, and generates a graphical presentation. The graphical presentation comprises information related to the activity data. The wearable device also provides visual and audio data.

Abstract: A monitoring system comprises a module having at least one sensor which could be an electric-field sensor within a housing. The device may be durable or disposable. 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: 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: A sensor array and computing apparatus are located on the human body while maintaining said sensors and apparatus 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 status data without substantial interference in human motion and flexibility. A processor is mounted within a pod location with or adjacent to a sensor pod location, or said processor may be electrically connected to said sensor.

Abstract: A device including a housing, a writing tip connected to the housing, a writing surface position indicator, a processor in the housing, a memory device in the housing connected to the processor, and a sensor in the housing and cooperative with the writing surface position indicator. The device may be used to record writings and drawings applied to a surface by a user, to transmit that data to a remote device, to download data from remote devices, and to otherwise communicate with remote devices.