Biometric Crisis Detection and Dual-Mode Intervention
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Solution Overview
Problem
There is a need for immediate and effective feedback systems to address individual and group crisis states, which are triggered by personal, physical, and social environment factors, to prevent escalation and improve decision-making during stressful situations.
Innovation Solution
A computer-implemented system using biometric sensors to detect crisis states and apply dual interventions, including unconscious sensory feedback and conscious software applications, to de-escalate individuals or groups to a normal operating state.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If biometric sensors and dual intervention methods are implemented, then crisis detection accuracy and intervention effectiveness are improved, but device complexity and system cost increase
Solution Approach 1:
The system divides crisis intervention into two distinct components: unconscious sensory feedback (haptic, auditory, visual stimuli) and conscious software applications (cognitive behavioral techniques, mindfulness exercises). This segmentation allows each component to address different aspects of crisis states independently, improving detection accuracy while managing system complexity through modular design
Solution Approach 2:
The wearable device integrates multiple biometric sensors (heart rate, temperature, galvanic skin response) and multiple intervention modalities (sensory feedback, software applications, notifications to contacts) into a single universal platform. This multi-functional design enables the system to detect various types of crisis states and apply appropriate interventions without requiring separate specialized devices
2Reliability
If immediate intervention is applied during crisis states, then decision-making quality and safety are improved, but loss of time for user autonomy decreases
Solution Approach 1:
The system dynamically adjusts intervention intensity and type based on real-time biometric data and crisis severity assessment. During mild stress, the system may provide subtle sensory feedback or suggest calming applications, preserving user autonomy. During severe crisis states, more intensive interventions are automatically applied to ensure safety and improve decision-making quality
Solution Approach 2:
The system continuously monitors biometric parameters and provides real-time feedback to both the user and the intervention algorithm. This feedback loop allows the system to assess whether interventions are effective and adjust accordingly, ensuring that user autonomy is preserved when possible while maintaining high decision-making quality during critical moments
3Measurement precision
If multiple biometric parameters are monitored, then crisis state detection precision is improved, but energy consumption and device complexity increase
Solution Approach 1:
The system monitors multiple biometric parameters simultaneously but adjusts the sampling frequency and depth of monitoring based on current stress levels. During normal states, basic monitoring continues with lower energy consumption. When stress indicators are detected, the system intensifies monitoring of relevant parameters to maintain high detection precision while managing overall energy usage
Data Source
AI summary
The disclosed technology provides a system and a computer implemented method for crisis state detection and intervention of a person or group of persons, the method comprising: providing a computer system designed to detect and intervene non-normal, elevated crisis operating states; using one or more biometric sensors that ascertains a crisis state via physical, behavioral, or mental indicators; deducing, with computational hardware, the operational state of a user or users from one or more biometric sensors; and administering an immediate, dual intervention of a sensory form to de-escalate the crisis operating state of a person or group of persons.