Voice-Confirmed Radar Event Detection for Fall Alarm Accuracy
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Solution Overview
Problem
Existing systems struggle to accurately detect predefined events, such as falls or other emergencies, in a home environment, often triggering false alarms or failing to respond when needed, due to the inability to differentiate between intentional and unintentional noises.
Innovation Solution
A dual-band radar system using ultra-wide and millimeter-wave antennas detects predefined events, combined with acoustic-event detection and natural language understanding, to confirm event occurrence and trigger appropriate responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If acoustic-event detection is used to detect predefined events, then the system can detect events such as falls, but it generates false alarms due to inability to differentiate between intentional and unintentional noises
Solution Approach 1:
The patent combines dual-band radar detection with acoustic-event detection to create a multi-modal verification system. The radar detects motion patterns and the acoustic system detects sound events, and both must confirm an event occurrence before triggering an alarm, thereby reducing false alarms from intentional noises
Solution Approach 2:
The system implements a feedback mechanism where the acoustic event detection result is verified against radar detection data. The natural language processing component analyzes the acoustic data to determine if it represents a genuine emergency, providing feedback that confirms or refutes the initial event detection
2Loss of time
If the system triggers alerts for detected events, then it responds to emergencies timely, but it causes user distress due to false alarms
Solution Approach 1:
The system performs preliminary verification using natural language processing and dual-band radar confirmation before triggering alerts. This preliminary action filters out false positives while maintaining rapid response capability for genuine emergencies by pre-validating event authenticity
3Measurement precision
If the system uses multiple detection methods to reduce false alarms, then event detection accuracy improves, but device complexity increases
Solution Approach 1:
The patent implements a unified processing architecture where a single natural language processing system handles both radar and acoustic data analysis. This multi-functional approach improves detection accuracy through multiple data sources while managing system complexity through integrated processing
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
Enhances the accuracy of event detection by confirming events through dual-band radar and acoustic analysis, reducing false alarms and ensuring timely responses to genuine emergencies.
Implementation Method 1
A dual-band radar system using ultra-wide and millimeter-wave antennas detects predefined events
Implementation Method 2
acoustic-event detection and natural language understanding, to confirm event occurrence
Data Source
AI summary
Systems and methods for event-detection confirmation are disclosed. For example, a sensing device may generate sensor data, such as from radar, and the sensor data may be utilized to determine if a predefined event as occurred. Event-confirmation operations may then be performed, such as by utilizing acoustic-event detection techniques and/or natural language understanding techniques. When occurrence of an event is confirmed, such as to a certain confidence level, one or more actions may be taken, such as sending a notification to another device and/or establishing a communication channel with another device, such as a device associated with emergency services, family members, friends, and/or neighbors.