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GPS offering least stressful route as an option Disclosure Number: IPCOM000243991D
Publication Date: 2015-Nov-04
Document File: 1 page(s) / 30K

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The Prior Art Database


Leveraging biometrics and analytics to provide alternative routes to a destination based on stress levels

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GPS offering least stressful route as an option

When you travel long routes, you may not be interested in the shortest path, or the one with the smallest fuel consumption but the "least stressful" route.

    Using some form of biometrics like smart watches or the heart rate sensors on the steering wheel you measure stress. This data is combined with GPS location and collected on a large scale. This database is made available to journey planning service like Google maps / GPS and those services takes into account stress levels as part of their routing algorithm. Services offer the option to "optimise for stress",

when this option is chosen the path made available minimises stress.

    Data collection and aggregation:
1 - A service providing routing capabilities offers the service to collect stress data and aggregate with GPS location

    2 - The data is then used to compute an average stress level for each path segment (e.g. street part between two intersection)

The routing algorithm provides the following option "optimise for stress": 1 - Find X shortest paths, where X can be configured

    2 - Select the path amongst the X shortest paths which offers the smallest average stress level.

    Stress levels computation: Using machine learning train a function that maps from biometrics data like heart rate variability, blood pressure, ... to a stress level value between 1 and 10. The stress level mapping function is trained using feedback from users who self assess their stress level.