Abstract

This document describes techniques that enable a mobile computing device (e.g., a smartphone, smart watch, wearable device, augmented reality glasses, etc.) to share a user’s health and/or readiness data with a vehicle (e.g., self-driving cars, airplanes, heavy machinery, etc.) in order to proactively determine driver and/or passenger readiness and improve safety systems. This document further describes techniques that enable the vehicle to perform various actions based on the shared data. The mobile computing device may be able to continuously monitor the user’s vital signs (e.g., heart rate, heart rate variability, blood oxygen levels, body temperature, etc.) and/or behavioral indicators (e.g. activity levels, sleep patterns, hand movements, fall detection, etc.). The mobile computing device may also include data for various environmental factors (e.g., time of day, location, weather conditions, etc.). Using the provided data, a readiness & safety system may assess the user’s readiness before and during a drive, allowing the autonomous vehicle to accommodate based on the user’s status, such as triggering a more cautious driving mode. The mobile computing device may also provide scores/metrics to the vehicle, rather than raw data (e.g., improving user privacy). In the event of an emergency during the drive, the readiness & safety system may immediately react and take steps to ensure the user’s safety, such as stopping the vehicle and/or notifying emergency services. The readiness & safety system may also take preventative measures to ensure the user’s safety based on historical data, such as by sending a human driver instead of an autonomous taxi. Therefore, the readiness & safety system may utilize the integration of the mobile computing device and the autonomous vehicle to proactively improve user safety.

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Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.

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