Systems, methods and articles for assessing and/or improving health and well-being
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Solution Overview
Problem
Current building systems fail to account for individual needs and preferences in a systemic manner, and do not respond dynamically to the occupants' requirements, leading to suboptimal indoor environmental conditions such as lighting, temperature, and air quality.
Innovation Solution
A smart building system equipped with sensors that detect biometric information and environmental parameters, a control circuit that analyzes this data, and a database to adjust lighting, temperature, and air quality automatically, using wearable sensors and a built environment operational database to maintain target operational parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If building systems use fixed environmental parameters, then system complexity is reduced, but adaptability to individual occupant needs deteriorates
Solution Approach 1:
The patent implements dynamic environmental control by continuously adjusting lighting, temperature, and air quality parameters based on real-time biometric feedback from wearable sensors. The system transitions from static fixed parameters to dynamic adaptive parameters that automatically respond to occupant physiological states, thereby achieving both individualized adaptability and systematic operation without requiring complex manual intervention.
Solution Approach 2:
The system incorporates closed-loop feedback mechanisms where biometric sensors continuously monitor occupant physiological parameters (heart rate, temperature, stress levels) and feed this information back to the environmental control system. This feedback enables automatic adjustment of environmental conditions to match individual occupant needs, resolving the contradiction between system simplicity and personalized adaptability.
2Adaptability or versatility
If building systems dynamically adjust environmental parameters, then adaptability to occupant needs is improved, but device complexity increases
Solution Approach 1:
The environmental control system operates autonomously by automatically interpreting biometric data and adjusting environmental parameters without requiring manual input from occupants or complex control interfaces. The system serves itself by using predefined algorithms to translate physiological data into environmental adjustments, thereby achieving high adaptability while maintaining operational simplicity.
Solution Approach 2:
The patent employs a multi-functional integrated system where a single control platform handles multiple environmental parameters (lighting, temperature, air quality) and processes various biometric inputs (heart rate, temperature, stress). This universal approach consolidates multiple functions into one system, reducing overall complexity while maintaining comprehensive adaptability to diverse occupant needs.
3Measurement precision
If comprehensive biometric monitoring is implemented, then measurement precision of occupant needs is improved, but loss of privacy increases
Solution Approach 1:
The system extracts only the essential biometric parameters needed for environmental control (heart rate, temperature, stress levels) while excluding unnecessary personal information. By selectively monitoring only the data required for physiological state assessment and environmental adjustment, the system achieves precise measurement of occupant needs while minimizing privacy intrusion through targeted rather than comprehensive data collection.
Data Source
AI summary
In some embodiments, apparatuses and methods are provided herein useful to assess monitor, improve, and/or modify health and well-being as it relates to people associated with a habitable or other built environments or spaces therein. In some embodiments, an intervention assessment system and methods include one or more sensors for measuring aspects related to the built environment, a personal user device, and a control circuit configured to receive one or more measurements form the sensor(s), identify a problem with the built environment, and identify potential interventions based on the indicators associated with the problem. By one approach, a plurality of potential interventions may be ranked based on, for example, the ability to reduce the prevalence of the problem or indicator in the built environment, feasibility, cost, and timeliness. In some approaches, the system and method also select and may implement one or more interventions.