Voice-Activated Digital Assistant for Hands-Free Emergency Assistance
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Solution Overview
Problem
Current medical alarm systems are user-operated, requiring wearable devices that can be inconvenient, prone to battery issues, and may not be accessible during emergencies, and digital personal assistants are restricted from making unverified 911 calls due to high false alarm rates, posing privacy and operational challenges.
Innovation Solution
A voice-activated digital assistant system connected to a private commercial network that allows hands-free emergency assistance without the need for wearable devices, powered by household electricity or a battery backup, and includes a 911-non-compliant assessment process to verify emergencies before making calls.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional medical alarm systems use wearable devices operated by users, then the system can provide emergency assistance, but the device may not be accessible during emergencies and requires user compliance
Solution Approach 1:
The system automatically detects emergency situations through voice analysis and camera monitoring without requiring user activation. The digital assistant autonomously determines when help is needed and initiates emergency protocols, eliminating the need for users to manually operate the device during crises.
Solution Approach 2:
The patent replaces mechanical wearable devices with voice-activated and vision-based detection systems. Instead of requiring physical contact with a wearable alarm button, the system uses acoustic and visual sensors to detect emergencies, making assistance accessible without physical device interaction.
2Reliability
If digital personal assistants are restricted from making unverified 911 calls, then false alarm rates are reduced, but emergency response time is delayed
Solution Approach 1:
The system implements continuous feedback loops where voice commands and environmental data are constantly monitored and analyzed. Multiple verification steps provide feedback to confirm genuine emergencies before triggering 911 calls, reducing false alarms while maintaining rapid response through automated assessment protocols.
Solution Approach 2:
The system performs preliminary assessment of emergency situations through voice analysis and environmental sensing before initiating 911 calls. This pre-verification process filters out false alarms while ensuring that genuine emergencies are rapidly identified and responded to, balancing accuracy with speed.
3Ease of operation
If medical alarm systems rely on battery-operated wearable devices, then portability is improved, but battery charge and device maintenance become problematic
Solution Approach 1:
The system integrates multiple functions into stationary digital assistants including voice recognition, camera monitoring, environmental sensing, and emergency communication. This multi-functionality eliminates the need for separate wearable battery-operated devices while maintaining comprehensive emergency monitoring capabilities.
Solution Approach 2:
The patent extracts the emergency detection and communication functions from portable wearable devices and relocates them to stationary digital assistants. This separation removes the battery and portability requirements while preserving the core emergency assistance functionality through fixed installation units.
Data Source
AI summary
A system for providing help includes at least one digital assistant and a wireless data interface for connecting the digital assistants to a server. A plurality of agent computers is connected to the server by a data network. Each of the at least one digital assistants is preprogrammed and centrally managed with at least one skill for recognizing a preprogrammed specific utterance and each of the at least one digital assistants is pre-configured to connect with the wireless data interface. After the preprogrammed specific utterance is detected by one of the digital assistants, that digital assistant initiates a request for help to the server and upon receiving the request for the help, the server assigns one of the agent computers and forwards the request for help to the one of the agent computers.