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copied!<p>Disclaimer: I do not know any Android specifics, it's likely also handset specific. I merely speaking from a physics background.</p> <p>You will need to integrate acceleration to velocity, and integrate velocity to displacement (position).</p> <p>You will suffer from integrational drift. Each time you integrate, an integration constant will be introduced. Multiple integrations compound this error.</p> <p>You will also need to worry about angular acceleration. ie. What happens when the handset is rotated, but remains in the same physical location?</p> <p>There are ways to help reduce these sources of error.</p> <p>If there are multiple accelerometers you can compare them, to try and determine any angular components. </p> <p>If there are gyro's, you can use the gyro's to help cancel out the angular components.</p> <p>If the compass is accurate enough, you can try to cancel at least the components in the horizontal plane.</p> <p>GPS can be used to try and remove displacement integration errors. When the GPS says you are stopped, zero out the integration constants.</p> <p>You will need to start looking at numerical integration and filtering algorithms. Without hardware acceleration, this could be computationally expensive.</p> <p>At which point you really need to start asking yourself, does your problem really need precise displacement measurements? Will GPS displacement suffice? Can you achieve the same result with only acceleration?</p> <p>You should try reading up on:</p> <p><a href="http://en.wikipedia.org/wiki/Inertial_navigation_system" rel="nofollow">http://en.wikipedia.org/wiki/Inertial_navigation_system</a></p>

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