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Method for Locating Someone Outside of Signal Range Based on Accelerometer History

IP.com Disclosure Number: IPCOM000230890D
Publication Date: 2013-Sep-17
Document File: 2 page(s) / 55K

Publishing Venue

The IP.com Prior Art Database

Abstract

Location finding services are very advanced including GPS and wifi proximity. The main drawback of all of these systems is availability inside buildings, in remote areas, or under ground. This describes a way to use accelerometer data and historical data to more accurately detect where a person is in poor circumstances.

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Method for Locating Someone Outside of Signal Range Based on Accelerometer History

Finding location accurately has a great benefit to users and companies, allowing navigation, local searches, and targeted advertising.

    Location finding services are very advanced including
-standard GPS triangulation (<20m, worldwide)
-mobile phone mast vicinity (1-3km, in signal areas)
-wifi access point location data (tens of metres, only where there are access points that are in a database)
-other proprietary system using radio signals

    The main drawback of all of these systems is availability inside buildings, in remote areas, or under ground.
- magnetic model - http://thecodeartist.blogspot.com/2011/11/ngps-location-fix-without-gps.html
the drawback of this is accuracy and effects from magnetic or other metallic objects

    Inertial navigation systems http://en.wikipedia.org/wiki/Inertial_navigation_system

    This are well known, but they suffer from cumulative error and requires very accurate and expensive accelerometers. An inertial navigation system would attempt to integrate acceleration very accurately to find out exactly where you are, but this is impossible with standard phone accelerometers due to error and uncertainty.

    Our idea is to use accelerometer data to detect when someone is walking, or using some other form or transport, and work out from that how far they are likely to have gone.

    If there is mapping data available, this will be used together with the data to detect where the person might be.

Schedule and stop data can also be used, and even live travel information if available.

    The advantage will be better accuracy of location information, location when there is no signal, and the ability to work out if the person is on a specific bus or train etc. what mode of transport they are using.

This invention tries to detect what you are likely to be doing rather than

where you are, and works out where you are using some intelligence.
take the output from accelerometers...