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A Method and System for Attributing Personal Sensor Data by Correlating Sensory Inputs

IP.com Disclosure Number: IPCOM000245634D
Publication Date: 2016-Mar-23
Document File: 2 page(s) / 23K

Publishing Venue

The IP.com Prior Art Database

Abstract

A method and system for attributing personal sensor data by correlating sensory inputs is disclosed. The sensory inputs collected from multitude of connected sensors and wearable devices are correlated to determine whether sensory data streams are correlated to a same patient/user’s physical condition or else combined with other patient/user’s details.

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A Method and System for Attributing Personal Sensor Data by Correlating Sensory Inputs

Disclosed is a method and system for attributing personal sensor data by correlating sensory inputs. The sensory inputs collected from multitude of connected sensors and

wearable devices are correlated to determine whether sensory data streams are correlated to a same patient/user's physical condition or else combined with other patient/user's details.

The method and system includes a physical device to collect personal sensory inputs from multitude of connected sensors and wearable devices. The physical device is also called as a Data Hub or DH, which can be a smartphone or another device that collects data directly from the sensors or indirectly from the smartphone or from another source. For instance, another source can be a cloud service which directly receives data from devices, which may include, but need not be limited to, a health and fitness tracking band, smart scales, blood pressure monitors, heart rate monitors, heart rate variability monitors, breath analyzers and the like.

Subsequently, the sensory inputs collected from different streams of wearable devices/sensors are correlated by a Correlation Unit (CU) during a training phase for performing correlation analysis between different streams of data. For instance, the training phase learns that, if there is an increase in heart rate then there is an increase in respiration rate, similarly, the increase in heart rate from sensor A can be correlated

with increase in heart rate from sensor B.

Further, the CU monitors for the...