Wearable Device Emotion Monitoring via Physiological Data Comparison
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Solution Overview
Problem
Current wearable electronic devices can only monitor physiological parameters and are unable to effectively monitor the emotional state of the wearer, which is crucial for early detection of negative emotions that can impact health.
Innovation Solution
A wearable electronic device equipped with physiological data monitoring sensors, data memory to store theoretical physiological state data for stable emotional states, and a comparator to determine the wearer's emotional state by comparing real-time data with pre-stored data, generating instructions for emotional monitoring and prompting the wearer to improve their emotional state.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If wearable electronic devices monitor only physiological parameters, then device complexity is reduced and ease of operation is improved, but the ability to monitor emotional state is lost
Solution Approach 1:
The patent segments the monitoring function into multiple independent modules: physiological parameter monitoring module, motion state detection module, and emotional state analysis module. Each module handles specific tasks, allowing the system to monitor emotional states through composite analysis of physiological data and motion patterns without requiring a single complex emotional detection device.
Solution Approach 2:
The wearable device is designed with multi-functionality, serving both as a physiological monitor and an emotional state detector. The same hardware components (sensors, processors) are used for multiple purposes: monitoring heart rate, detecting motion, and analyzing emotional states, thereby eliminating the need for separate dedicated equipment.
2Measurement precision
If wearable electronic devices add emotional monitoring functionality, then emotional state detection capability is improved, but device complexity increases
Solution Approach 1:
The patent introduces motion state as an intermediary variable that mediates between physiological parameters and emotional state. The system first detects motion state through sensors, then uses this information to select appropriate physiological thresholds for emotional analysis, simplifying the direct mapping from raw physiological data to emotional states.
Solution Approach 2:
The system dynamically adjusts monitoring parameters based on detected motion states. When motion state changes (e.g., from resting to exercising), the physiological thresholds and analysis algorithms are automatically adjusted, allowing accurate emotional monitoring across different activity levels without requiring complex fixed-threshold systems.
3Measurement precision
If the device stores theoretical physiological data for multiple motion states, then measurement precision for emotional detection is improved, but data memory requirements increase
Solution Approach 1:
The patent applies local quality by storing different detailed physiological data ranges for different motion states (resting, walking, running, etc.). Each motion state has its own optimized threshold values and reference ranges tailored to that specific activity level, rather than using a single generic dataset for all conditions.
Solution Approach 2:
The system dynamically selects which theoretical data ranges to load and use based on the currently detected motion state. Instead of maintaining all possible data ranges simultaneously, the device activates only the relevant dataset for the current activity, reducing memory usage while maintaining precision for the active state.
Data Source
AI summary
A wearable electronic device and an emotion monitoring method are provided. The wearable electronic device includes: a physiological data monitoring sensor configured to acquire current physiological state data of a wearer in real time; a data memory configured to pre-store physiological state data of the wearer in a preset emotional state; a first comparator configured to compare the current physiological state data acquired by the physiological data monitoring sensor with the pre-stored physiological state data, so as to determine whether or not the wearer is currently in the preset emotional state, thereby to acquire a first comparison result; and an instruction generator configured to generate an emotional monitoring output instruction in accordance with the first comparison result.