Wearable Device Biometric Acquisition Control
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Solution Overview
Problem
Electronic devices face inaccuracies in predicting user behavior, especially in unexpected situations, due to limitations in acquiring and processing biometric information, leading to unreliable operations.
Innovation Solution
A wearable device with a movement detection unit, position detection unit, wireless communication, biometric information detection unit, and processor that determines acquisition conditions for biometric data based on movement and location, comparing it with scheduled information to control connected devices accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the electronic device acquires biometric information in all situations to improve user behavior prediction accuracy, then the reliability of information improves, but the energy consumption and device complexity increase
Solution Approach 1:
The patent segments the operational scenarios into scheduled situations and unscheduled situations. Biometric information acquisition is selectively applied only to unscheduled situations where prediction accuracy is needed, rather than continuously in all situations. This segmentation resolves the contradiction by maintaining reliability where necessary while reducing overall system complexity and resource consumption.
Solution Approach 2:
The system performs preliminary actions by pre-defining scheduled situations and their expected biometric patterns before they occur. When a situation is recognized as scheduled based on these pre-defined patterns, the system skips biometric acquisition. This preliminary classification resolves the contradiction by eliminating redundant measurements in predictable scenarios while maintaining accuracy in unexpected situations.
2Reliability
If the electronic device continuously acquires biometric information to improve prediction accuracy, then the reliability of user behavior prediction improves, but the energy consumption increases
Solution Approach 1:
The system implements periodic action by acquiring biometric information only at specific intervals - specifically, only when unscheduled situations are detected. Scheduled situations use pre-collected baseline data without triggering new measurements. This periodic acquisition strategy maintains prediction reliability for unexpected events while dramatically reducing energy consumption compared to continuous acquisition.
Solution Approach 2:
The patent extracts and removes the biometric information acquisition step from the standard operational flow, retaining it only for specific unscheduled situations. By taking out the acquisition action from universal application and limiting it to exceptional cases, the system maintains necessary prediction accuracy while eliminating wasteful energy consumption in predictable, scheduled scenarios.
3Adaptability or versatility
If the electronic device determines operations based on biometric information in unexpected situations, then the adaptability improves, but the measurement precision decreases
Solution Approach 1:
The system applies dynamics by adaptively adjusting the measurement strategy based on situation type. For scheduled situations, it relies on pre-established patterns with high precision. For unscheduled situations, it dynamically activates biometric sensing to achieve adaptability. This dynamic switching resolves the contradiction by optimizing for precision when predictable and for adaptability when unexpected events occur.
Solution Approach 2:
The patent introduces situation classification as an intermediary layer between the scheduled operations and biometric measurement system. This intermediary determines whether biometric acquisition is necessary by comparing current context against predefined schedules. The intermediary resolves the contradiction by ensuring high-precision measurements are taken only when truly needed for unscheduled situations, while maintaining adaptability through selective activation.
Data Source
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AI summary
A method and wearable device are provided. The wearable device includes a movement detection unit, a position detection unit, a wireless communication unit, a biometric information detection unit, a memory, and a processor, which implements the method, including determining an acquisition condition for acquiring biometric information, based on at least one of: setting information stored in the memory, movement information from a movement detection unit, location information from a position detection unit, information from a wireless communication unit, and information from a biometric information detection unit indicating wearing or non-wearing of the wearable device, storing the determined acquisition condition and the biometric information, comparing the stored biometric information with a predesignated setting value, determining an additional acquisition condition for acquiring biometric information in accordance with the comparison result, and controlling the wearable device or another electronic device communicatively coupled with the wearable device in accordance with the comparison result.