Wearable Sensor Detection for Driving-Triggered Do Not Disturb
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Solution Overview
Problem
Existing wireless communication systems lack the ability to automatically detect when a user is driving a vehicle and enable a Do Not Disturb mode to minimize distractions during driving.
Innovation Solution
A user equipment (UE) receives sensor data from a wearable device to determine if the user is driving, and based on this determination, enables a Do Not Disturb While Driving mode.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the UE automatically enables Do Not Disturb mode based on sensor data detection, then driver safety is improved by reducing distractions, but the device complexity increases due to integration with wearable devices and sensor data processing
Solution Approach 1:
The patent introduces a wearable device as an intermediary component that contains the sensor processing logic and driving state determination algorithms. The wearable device acts as a mediator between the physical driving activity and the UE's Do Not Disturb mode, offloading the complex detection and decision-making functions from the UE to the wearable device. This resolves the contradiction by maintaining improved driver safety through automatic detection while reducing the burden on the UE's processing capabilities.
2Speed
If the UE processes sensor data locally to determine driving state, then the response time is improved for enabling Do Not Disturb mode, but the use of energy increases due to continuous sensor data processing
Solution Approach 1:
The patent extracts the energy-intensive sensor data processing and driving state determination functions from the UE and relocates them to the wearable device. The wearable device continuously monitors sensor data and determines driving state locally, then transmits only the determined state information to the UE. This extraction approach maintains fast response time for enabling Do Not Disturb mode while significantly reducing the UE's energy consumption by eliminating continuous sensor data processing.
3Measurement precision
If the UE integrates with wearable devices for driver detection, then the measurement precision of driving state is improved, but the device complexity increases due to additional hardware and software integration
Solution Approach 1:
The wearable device serves as an intermediary that encapsulates the complex sensor integration and driving state detection logic. It receives raw sensor data from various sensors (accelerometers, gyroscopes, etc.), processes this data to determine driving state with high precision, and transmits the processed information to the UE. This intermediary approach achieves high measurement precision for driving state detection while containing the integration complexity within the wearable device rather than the UE.
Data Source
AI summary
Disclosed are techniques for wireless communication. In an aspect, a user equipment (UE) receives sensor data from a wearable device associated with a user of the UE, determines that the user is driving a vehicle based on the sensor data, and enables a Do Not Disturb While Driving mode of the UE based on the determination that the user is driving the vehicle.