Vehicle Emergency Response via Distressed Speech Detection
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Solution Overview
Problem
Infotainment systems that automatically call emergency services after a collision may not be effective in situations where occupants are in distress due to risks such as abductions or domestic violence, as they assume the driver's inability to call, failing to account for other dangerous scenarios where calling for help could endanger the person.
Innovation Solution
A vehicle system that discreetly contacts an emergency service provider using a microphone to capture sounds, a speech analyzer to detect distressed speech and action words, and a processing device to initiate contact, while considering user profiles and biometric data to ensure safe and accurate assistance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If the system automatically calls emergency services after detecting a collision, then emergency response time is improved, but false alarms increase in situations where the occupant is actually capable of calling but chooses not to due to safety concerns
Solution Approach 1:
The system continuously monitors the cabin environment using microphones and biometric sensors to detect distress signals. When distress is detected, the system provides feedback by initiating a discreet emergency call, then continues monitoring to verify the situation, creating a closed-loop system that reduces false alarms while maintaining rapid response capability
Solution Approach 2:
The system performs preliminary detection of distress conditions through multiple sensors (microphones for distressed speech, biometric sensors for physiological indicators) before initiating the emergency call. This preliminary assessment ensures that calls are only made when genuine distress is detected, reducing false alarms while maintaining quick response time
2Ease of operation
If the system uses automatic collision detection to trigger emergency calls, then the ease of operation is improved, but the system fails to account for situations where the occupant is conscious and capable but unsafe to call
Solution Approach 1:
The system combines multiple detection methods (collision sensors, distressed speech detection, biometric monitoring) into a single multi-functional emergency response system. This allows the system to adapt to various distress scenarios beyond just collisions, including situations where the occupant is conscious but unsafe to call, thereby improving both ease of operation and situational versatility
Solution Approach 2:
The system introduces an intermediary assessment layer that evaluates multiple indicators (speech patterns, biometric data, sensor inputs) before triggering an emergency call. This intermediary step allows the system to distinguish between genuine distress requiring immediate help and situations where the occupant may be capable of self-rescue, improving adaptability while maintaining automatic operation
3Speed
If the system openly initiates emergency calls, then the speed of response is improved, but the safety of the occupant is compromised in situations where the perpetrator may be present
Solution Approach 1:
The system performs preliminary detection and verification of distress conditions through multiple sensors before initiating any emergency call. This preliminary action ensures that calls are only made when genuine distress is confirmed, and the system can prepare discreet notification methods in advance to alert the occupant without immediately exposing them to potential perpetrators
Solution Approach 2:
The system introduces discreet notification mechanisms (subtle visual or haptic alerts) as an intermediary step between distress detection and emergency call initiation. This allows the occupant to be alerted and potentially cancel the call if it was a false alarm or if conditions have changed, while still enabling rapid emergency response when genuine distress is confirmed, thereby protecting occupant safety without compromising response speed
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 discreet and safe emergency contact by analyzing sound and biometric signals to determine distress, reducing false positives and ensuring timely assistance without putting the occupant at greater risk, thereby addressing the limitations of existing systems in risky situations.
Implementation Method 1
a microphone programmed to capture sounds in a passenger compartment of a vehicle and output a sound signal
Data Source
AI summary
A vehicle system includes a microphone programmed to capture sounds in a passenger compartment of a vehicle and output a sound signal. A speech analyzer analyzes the sound signal for distressed speech and for action words. The speech analyzer outputs an alert signal if distressed speech and action words are detected. A processing device receives the alert signal and initiates contact with an emergency service provider in response to the alert signal.