Biometric IoT Control for Personalized Stress-State Shifting
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Solution Overview
Problem
Individuals facing stress and anxiety often struggle to find appropriate stress management techniques due to the variety of options available, and may lack the energy or resources to access effective counseling, such as audio therapy, which can be expensive and not readily available.
Innovation Solution
A system and method for dynamic IoT device regulation and control that uses biomarker responses to adjust settings on IoT devices, such as displays and audio recordings, to shift a user's emotional state from anxious to calm, utilizing wearable devices connected to computing devices and IoT devices, employing machine-learning algorithms to monitor and adjust settings based on user biomarkers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If professional counseling and audio therapy are provided to help users manage stress and anxiety, then the effectiveness of stress management is improved, but the cost and accessibility become problematic
Solution Approach 1:
The patent creates a simplified copy of professional counseling services by using wearable devices to monitor biomarkers and IoT devices to deliver therapeutic content. This automated system replicates the core functionality of professional counseling without requiring direct human intervention, making it more accessible and cost-effective while maintaining therapeutic effectiveness
Solution Approach 2:
The system enables users to self-manage their stress and anxiety by continuously monitoring their own biomarkers and automatically delivering personalized therapeutic interventions. The wearable device and IoT system work together to provide autonomous stress management without requiring users to seek out or pay for professional counseling services
2Reliability
If multiple stress management techniques are made available to users, then the potential effectiveness is improved, but the complexity of selection and implementation increases
Solution Approach 1:
The system changes the parameter of technique selection from user-driven to system-driven by using biomarker data to automatically determine which stress management techniques to apply. Instead of users navigating through multiple technique options, the system monitors physiological parameters and dynamically selects appropriate interventions based on real-time stress levels
Solution Approach 2:
The patent implements dynamic adjustment of stress management techniques based on real-time biomarker monitoring. The system continuously adapts the type and intensity of therapeutic interventions delivered by IoT devices according to the user's current physiological state, creating a flexible and responsive stress management approach
3Adaptability or versatility
If wearable devices continuously monitor biomarkers and dynamically adjust IoT device settings, then the personalization and responsiveness of stress management is improved, but the system complexity and computational requirements increase
Solution Approach 1:
The patent segments the stress management system into distinct functional modules: wearable devices for biomarker monitoring, communication interfaces for data transmission, and IoT devices for therapeutic intervention. This segmentation allows each component to be optimized independently and simplifies the overall system architecture by distributing functions across multiple devices
Data Source
AI summary
Systems and methods of dynamic IoT device regulation and control can aid in shifting a user's emotional state from a first state of mind to a preferred second state of mind, using the user's biomarker response to device settings. Particularly, an IoT device controller may be embedded within a wearable device that is wirelessly connected to a computing device and one or more IoT devices. Initially, each wearable device can be calibrated, wherein a matrix of sensed user biomarker responses can be generated. In some embodiments, the system continuously monitors user biomarkers to detect which physiological state exists. When the user enters into the first physiological/psychological state, the system can adjust each IoT device to align with the second state. When the system detects that the user biomarker response has not shifted, the system can continuously adjust IoT settings based upon a learning algorithm having monitored user biomarkers as input.