In-Vehicle Occupant Distress Detection With Driver-Calming Controls
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Solution Overview
Problem
Existing in-vehicle occupant monitoring systems distract drivers when they try to determine if occupants are distressed or soothe them, as these systems require driver attention to operate effectively.
Innovation Solution
An in-vehicle occupant monitoring and calming system that uses sensors to detect occupant distress and provides driver-selectable options to calm the occupant, including audio or video playback, lighting adjustments, and seat vibrations, without requiring the driver to manually intervene.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system displays live video of the occupant to the driver, then the driver can monitor the occupant's distress, but the driver becomes distracted from driving
Solution Approach 1:
The system automatically detects occupant distress using sensors and algorithms, and autonomously selects and plays appropriate calming content without requiring driver intervention. The driver simply needs to initiate monitoring mode, after which the system handles detection, analysis, and response selection independently, reducing driver cognitive load and distraction.
Solution Approach 2:
The system continuously monitors occupant vitals and behavior, provides real-time feedback to the driver through the display, and automatically adjusts the calming content based on the occupant's response. This closed-loop feedback mechanism ensures effective monitoring while minimizing driver distraction by automating the adjustment process.
2Ease of operation
If the system provides multiple calming options to the driver, then the driver can effectively soothe the occupant, but the driver must divert attention to select options
Solution Approach 1:
The system automatically analyzes the occupant's distress level and autonomously selects the most appropriate calming content from available options, playing it without requiring driver selection. This eliminates the time the driver would spend evaluating and selecting options, while still providing effective calming intervention.
Solution Approach 2:
The system pre-processes and evaluates all available calming content options in advance, preparing them for potential playback. When distress is detected, the system can immediately deploy the most suitable pre-prepared option, eliminating the need for real-time driver decision-making and reducing attention loss.
3Reliability
If the system automatically detects and responds to occupant distress, then driver attention is maintained, but the system complexity increases
Solution Approach 1:
The system uses a multi-functional sensor array that serves both safety monitoring and distress detection purposes. The same sensors that monitor basic occupancy also detect distress signals, and the processing unit handles both standard safety protocols and distress response algorithms, reducing overall system complexity through functional consolidation.
Solution Approach 2:
The system replaces manual driver assessment and intervention with automated sensor-based detection and algorithmic response selection. Electronic sensors and processing algorithms substitute for the mechanical/cognitive processes the driver would otherwise perform, maintaining driver attention while managing complexity through automation.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables drivers to monitor and soothe distressed occupants without diverting attention from driving, enhancing safety by automating the response to occupant distress.
Implementation Method 1
receives occupant data from occupancy-monitoring sensors (e.g., microphones, cameras, radar sensors, ultrasonic sensors)
Implementation Method 2
receives occupant data from occupancy-monitoring sensors (e.g., microphones, cameras, radar sensors, ultrasonic sensors)
Data Source
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AI summary
This document describes one or more aspects of an in-vehicle occupant monitoring and calming system. In one example, the system includes a processor that receives occupant data from occupancy-monitoring sensors (e.g., microphones, cameras, radar sensors, ultrasonic sensors) of a vehicle. Based on the occupant data, the processor can determine whether the occupant is distressed and provide an image or video of the occupant to the driver. The processor can also display driver-selectable options to calm the distressed occupant. The options can include playing an audio or video file for the occupant, adjusting the ambient lighting of the vehicle, or rocking or gently vibrating the occupant's seat. In this way, the described system can monitor vehicle occupants and automatically display a video of the distressed occupant to the driver. In addition, the driver can calm the distressed occupant without removing their attention from driving.