IoT Cognitive Risk Mitigation via Multi-Modal AI Analysis
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Solution Overview
Problem
IoT-based monitoring devices are unable to predict and mitigate physical risks associated with users performing daily activities in smart home environments, as they fail to accurately assess cognitive decline, leading to accidents and inability to seek help due to compromised cognitive and physical abilities.
Innovation Solution
A method and system that monitors multi-modal input data to estimate a cognitive ability index, predicts potential physical risks, and controls IoT devices to notify or perform corrective actions to mitigate these risks, using a correlation of cognitive health indexes and multi-modal interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If monitoring devices only monitor external appearances of face and body, then device complexity is reduced, but measurement precision of cognitive health status deteriorates
Solution Approach 1:
The patent combines multiple monitoring modalities (visual, auditory, interaction-based) into a unified cognitive health assessment system. By merging these different data sources and analyzing them together, the system achieves comprehensive cognitive monitoring without requiring each individual sensor to be overly complex
Solution Approach 2:
The system introduces an AI-based analysis layer as an intermediary between raw sensor data and cognitive health conclusions. This intermediary processes multi-modal data (facial expressions, voice patterns, interaction sequences) to derive accurate cognitive status indicators, resolving the contradiction between simple sensing and complex assessment
2Measurement precision
If monitoring devices collect comprehensive multi-modal data, then measurement precision of cognitive health status is improved, but device complexity and data processing requirements increase
Solution Approach 1:
The patent segments the cognitive monitoring function across multiple simple IoT devices (cameras, microphones, interaction sensors) rather than requiring one complex device. Each device collects specific multi-modal data independently, and the AI system integrates these segmented data sources to achieve comprehensive assessment
Solution Approach 2:
The system employs AI-based automatic analysis that processes multi-modal data without requiring complex manual intervention or sophisticated hardware. The AI algorithms self-manage the complexity of integrating visual, auditory, and interaction data, allowing the physical devices to remain relatively simple
3Reliability
If monitoring devices fail to predict cognitive decline, then false alarms are reduced, but user safety and accident prevention deteriorate
Solution Approach 1:
The system performs preliminary detection of cognitive decline by analyzing changes in multi-modal interaction patterns before accidents occur. By identifying early signs of cognitive impairment through AI analysis of facial expressions, voice changes, and interaction sequences, the system can trigger preventive alerts and interventions before harmful events happen
Solution Approach 2:
The system implements continuous feedback loops where AI analysis of ongoing multi-modal data provides real-time assessment of cognitive status. This feedback mechanism allows the system to dynamically adjust monitoring intensity and trigger appropriate responses based on detected changes, improving both reliability and safety
Data Source
AI summary
A method for mitigating physical risks associated with a user in an Internet of Things (IoT) environment includes monitoring multi-modal input data associated with at least one multi-modal interaction of the user with at least one IoT device, identifying a change in at least one cognitive ability of the user, estimating a cognitive ability index of the user, predicting at least one physical risk associated with a current user activity, determining at least one corrective action to avoid the at least one physical risk, and controlling at least one IoT device to notify or perform the at least one corrective action such that the at least one physical risk is mitigated.