Biometric Feedback Control for IoT Equipment Temperature Adjustment
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Solution Overview
Problem
Existing IoT systems lack the ability to accurately control external equipment based on individual user biometric information, leading to ineffective temperature adjustments that do not account for subjective user preferences and emotional states.
Innovation Solution
A method and apparatus that utilize biometric information, such as heart rate, EEG, and GSR, to calculate a calorific value and generate commands for controlling equipment, allowing for personalized temperature adjustments based on the user's emotional and physical state.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If temperature control is based on preset apparent temperature values, then the control system is simple to operate, but it cannot accurately reflect individual user preferences and emotional states
Solution Approach 1:
The system continuously monitors user biometric data (heart rate, skin temperature, galvanic skin response) and uses this feedback to dynamically adjust temperature control decisions, replacing static preset values with real-time adaptive control based on actual user physiological states
Solution Approach 2:
The patent replaces manual temperature preset selection with automated biometric-based control, where physiological signals automatically trigger temperature adjustments without requiring user intervention or complex manual programming
2Measurement precision
If biometric sensors are added to measure user state information, then temperature control accuracy is improved, but device complexity increases
Solution Approach 1:
The wearable device integrates multiple biometric sensing functions (heart rate monitoring, skin temperature sensing, galvanic skin response detection) into a single multi-functional platform, allowing one device to perform various physiological measurements rather than requiring separate specialized sensors for each parameter
Solution Approach 2:
The system automatically processes and interprets biometric data without requiring external intervention, where the wearable device itself performs measurement, analysis, and triggers appropriate temperature control actions autonomously based on detected physiological states
3Adaptability or versatility
If temperature control is personalized based on individual biometric data, then user comfort is improved, but data processing complexity increases
Solution Approach 1:
The system pre-establishes the relationship between biometric states and temperature preferences through continuous monitoring and learning, creating a personalized control model in advance that enables rapid automated decision-making without complex real-time calculations when temperature adjustment is needed
Data Source
AI summary
This disclosure relates to technologies for a sensor network, machine-to-machine (M2M) communication, machine type communication (MTC), and Internet of Things (IoT). This disclosure can be utilized in intelligent services based on the above technologies, such as smart homes, smart buildings, smart cities, smart cars or connected cars, health care, digital education, retail sales, security and safety related services, etc. This disclosure relates to a method for generating an instruction for controlling equipment on the basis of biometric information, comprising: a step of obtaining at least one biometric information; a step of determining whether to calculate a calorific value by using stored biometric information and the obtained biometric information, and calculating the calorific value by using the stored biometric information and the obtained biometric information according to the determined result; and generating an instruction for controlling the equipment on the basis of the calculated calorific value.