Biometric-Based Equipment Control Using Calorific Value Calculation
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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 temperature adjustments that may not align with the user's subjective preferences, as apparent temperature values are subjective and vary among individuals.
Innovation Solution
A method and apparatus that utilize biometric information, such as heart rate, EEG, and skin temperature, to calculate a user's calorific value and generate commands to control equipment, such as air conditioners, to adjust temperature based on the user's actual needs and emotional state.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If temperature control is based on apparent temperature calculated by formula, then temperature control can be automated, but the control does not reflect individual user preferences and subjective feelings
Solution Approach 1:
The system changes from using a single formula-based apparent temperature parameter to using multiple biometric parameters (heart rate, skin temperature, EEG) to comprehensively determine user state, enabling both automation and individualization
Solution Approach 2:
The system continuously monitors biometric information and uses feedback loops to adjust temperature control decisions, comparing current biometric data with baseline data to determine when and how to adjust temperature based on actual user physiological responses
2Device complexity
If temperature is adjusted based on preset rules for same apparent temperature, then control logic is simple, but it does not match user's actual wishes in different conditions
Solution Approach 1:
The system transitions from simple preset temperature rules to dynamic parameter adjustment based on multiple biometric indicators, where control decisions are made based on changes in heart rate, skin temperature, and EEG patterns rather than fixed apparent temperature thresholds
Solution Approach 2:
The control system becomes dynamic by continuously monitoring biometric parameters and adjusting temperature control in real-time based on detected changes in user state, rather than relying on static preset rules for apparent temperature
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.