Air Conditioner Emotion-Based Control Using Non-Contact Biosensors
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Solution Overview
Problem
Existing air conditioners lack the ability to dynamically adjust the environment to prioritize and maintain the emotional comfort of individuals within a space.
Innovation Solution
An air conditioner system that includes a control unit to process biological information from non-contact biosensors to estimate emotion and adjust environmental factors such as temperature and airflow based on the estimated emotion, using a Russell's emotion circumplex model to enhance comfort.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If air conditioners control environment based on basic attributes (age, gender), then manufacturing precision is improved, but adaptability to individual emotional states deteriorates
Solution Approach 1:
The system transitions from controlling environment based on static attributes (age, gender) to dynamic emotional states by detecting physiological parameters (heart rate, respiration) and mapping them to emotional parameters using the Russell circumplex model, enabling continuous adaptation of temperature and airflow control
Solution Approach 2:
The system implements closed-loop feedback by continuously monitoring biological information through non-contact sensors, estimating emotional states in real-time, and adjusting environmental parameters accordingly to maintain pleasant emotional states
2Measurement precision
If air conditioners use non-contact biosensors to detect biological information, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The control unit performs multiple functions including signal processing from non-contact biosensors, emotion estimation using the Russell circumplex model, and environmental control, consolidating these capabilities into a single integrated system rather than separate components
Solution Approach 2:
The system introduces an intermediary emotion estimation process that translates raw biological signals into interpretable emotional states using the Russell circumplex model, simplifying the control logic while maintaining high measurement precision
Data Source
AI summary
A control unit generates a second signal indicating biological information of a target person by processing a first signal output from a non-contact biosensor configured to detect biological information of the person present in a space, based on state information indicating a state of the person present in the space acquired by a state acquisition unit, estimates emotion information of the target person based on the second signal, and controls an environment adjustment portion based on the emotion information of the target person.