Sensor Monitoring With LLM Speech Verification for False Alarms
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Solution Overview
Problem
Existing monitoring systems for elderly individuals often generate false alarms, leading to unnecessary costs and inconvenience, as they fail to accurately assess the need for assistance.
Innovation Solution
A system utilizing sensors, a large language model, and audio capabilities to initiate a speech dialog with the monitored person, assess their response, and determine the necessity of an alarm based on context and keywords, minimizing false alarms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional monitoring systems (safety bracelets, pressure sensors, video cameras) are used to detect falls and emergencies, then the system can quickly identify potential incidents, but false alarms are generated frequently leading to unnecessary costs and inconvenience
Solution Approach 1:
The system introduces a feedback loop where the monitored person is asked to confirm whether they actually need help. The speech recognition system processes their response, and based on this feedback, the system either confirms the alarm or cancels it. This feedback mechanism resolves the contradiction by using the user's own confirmation to filter out false alarms while maintaining quick response to genuine incidents.
Solution Approach 2:
The patent introduces an intermediary verification step between detection and alarm execution. Instead of directly triggering an alarm upon detecting a fall, the system uses speech recognition as an intermediary to verify the situation with the user. This intermediary layer filters out false alarms while maintaining the speed of response for genuine emergencies.
2Reliability
If safety bracelets with alarm buttons are worn continuously, then immediate help can be requested in emergencies, but the user must be able to press the button and wear the device continuously which reduces comfort and compliance
Solution Approach 1:
The system enables self-service monitoring where the person being monitored does not need to actively wear or operate any device. The passive sensors detect falls automatically, and the speech recognition system communicates with the user without requiring them to wear or manually operate anything. This resolves the contradiction by eliminating the need for continuous wearing while maintaining emergency response capability.
Solution Approach 2:
The patent replaces the mechanical bracelet with a button with an automated sensor-based detection system combined with speech recognition. Instead of requiring mechanical interaction (wearing and pressing a button), the system uses automated sensors to detect falls and speech recognition to verify the situation, thereby improving ease of operation while maintaining reliability.
3Object-generated harmful factors
If professional caregivers are contacted for every alarm to verify the situation, then false alarms can be minimized, but the costs for monitoring increase significantly
Solution Approach 1:
The system enables self-service verification where the monitored person themselves confirms whether they need help through speech recognition. This eliminates the need for expensive professional caregiver verification while effectively reducing false alarms, as the user's own response is the most reliable indicator of their actual condition.
Solution Approach 2:
The patent introduces speech recognition technology as an intermediary between alarm detection and caregiver notification. This intermediary automatically verifies the situation by communicating with the user, replacing the need for expensive human verification while effectively filtering out false alarms. The intermediary processes the user's response and only triggers caregiver notification when truly necessary.
Data Source
AI summary
A system includes at least one sensor, a means for processing the measurement signal of the sensor and means for communicating measurement results and/or data relating to the measurement results for further processing. The system includes means for producing and capturing audio and the system is configured to determine with the at least one sensor that the safety of a monitored person is endangered and based on the determined endangered safety of the monitored person, to use the means for producing audio to initiate a speech dialog with the monitored person, and to use the means for capturing audio to listen to the reply from the monitored person. Based on the captured audio the system assesses the situation and determines if an action is required, the system being configured to use a large language model for carrying out the speech dialog with the monitored person.