Valencell, Inc.

Sony Ericsson Mobile Communications Ab

Sony Mobile Communications Inc.

William M Richey

Steven Francis LeBoeuf

Michael Edward Aumer

Tushar Dilip Tank

Greg A Dunko

Gary D Thomas

Gary Thomas

A method of presenting data from a remote sensor that is monitoring a subject includes obtaining a data stream from the remote sensor, wherein the data stream includes a sensor metric, a metric identifier, dynamically updated integrity information about an accuracy of the sensor metric, and a diagnostic assessment of a health condition of the subject, and then displaying, via a display associated with the client device, the diagnostic assessment of the health condition of the subject, a metric statistic associated with the diagnostic assessment, and a recommendation as to an action to be taken by the subject.

Methods, apparatus and systems for adaptable presentation of sensor data

Systems and methods for presenting sensor data are provided and include collecting physiological data and meta data from a subject via a sensor system, wherein the sensor system comprises a sensor element, a signal processor, and memory in communication with the signal processor. The subject meta data is processed by the signal processor to determine metric features, the metric features are processed by the signal processor to determine a subject-specific metric statistic for the subject, and the physiological data is processed by the signal processor to generate a sensor metric. The sensor metric is then presented for display via a display.

Methods and systems for adaptable presentation of sensor data

A method of producing subject-specific metric statistics includes collecting physiological data and meta data from a subject via a sensor system. The sensor system includes at least one sensor element, at least one signal processor, and memory in communication with the at least one signal processor. The collected data is processed via the at least one signal processor to determine a plurality of metric features from the collected data. The plurality of metric features are processed using one or more data clustering techniques via the at least one signal processor to generate at least one subject-specific metric statistic and at least one sensor metric. The at least one subject-specific metric statistic and the at least one sensor metric may be displayed via a display associated with a client device.

A client device includes a display and a processor configured to obtain a data stream from a remote sensor via a communication protocol. The remote sensor is a physiological sensor monitoring a subject and/or an environmental sensor monitoring an environment in a vicinity of the subject, and the data stream includes a sensor metric, a metric identifier, and dynamically updated integrity information about the sensor metric. The processor is also configured to identify a statistical distribution function associated with the remote sensor via a function selector associated with the communication protocol, and display, via the display, the sensor metric with statistical information about the sensor metric using the identified statistical distribution function.

Methods and apparatus for adaptable presentation of sensor data

A system includes a sensor configured to sense physiological information from a subject, and a signal processor configured to process signals from the sensor into a serial data stream of physiological information and sensor performance information. An electronic device having a display is configured to receive the serial data stream and display the physiological information simultaneously with the sensor performance information via the display.

Systems and methods for adaptable presentation of sensor data

A portable communication device includes an application program for determining crowdedness of a desired location. The portable communication device executes the application program to communicate within a wireless communication system for requesting mobile critical mass information for at least one desired location. The mobile critical mass information for the at least one desired location is received and converted into a user-understandable format. The converted mobile critical mass information is displayed as crowdedness information on a display of the portable communication device. Portable communication device users can seek out or avoid crowds depending on their preference.

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Durham, NC, United States of America

William M Richey