Robot Electromagnetic Detection for Reliable Natural Biometric Sensing
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Solution Overview
Problem
Existing robots that acquire biological information require user contact, leading to limitations in reliability due to orientation, position, or shielding, such as clothing or baggage, and may not provide highly reliable data.
Innovation Solution
A robot configured to acquire biological information in contact or proximity to a user using an electromagnetic wave detector, with a controller adjusting the detector's orientation, position, or pose based on acquired information to ensure high reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the robot uses contact-based biological information acquisition, then the user feels natural and comfortable, but the reliability of biological information is reduced due to orientation, position, or shielding issues
Solution Approach 1:
The robot dynamically adjusts the detector's orientation, position, and pose based on real-time biological information quality assessment. The controller modifies detector parameters dynamically to maintain optimal measurement conditions while preserving natural user interaction, resolving the contradiction between reliability and ease of operation.
Solution Approach 2:
The system implements feedback control by continuously monitoring the quality of acquired biological information and using this feedback to adjust detector positioning and orientation. This closed-loop approach ensures high reliability of biological information while maintaining natural user comfort through automated adaptations.
2Measurement precision
If the detector is positioned to optimize biological information acquisition, then measurement precision improves, but the complexity of controlling detector orientation and position increases
Solution Approach 1:
The detector system performs self-positioning and self-oriented adjustments through automated control based on acquired biological information quality. The system serves itself by autonomously optimizing measurement conditions without requiring complex external intervention, thereby improving measurement precision while managing control complexity through automation.
Solution Approach 2:
The patent replaces complex mechanical positioning systems with electromagnetic field-based detection and control. By using electromagnetic waves for both detection and actuation control, the system achieves precise detector positioning with reduced mechanical complexity, resolving the contradiction between measurement precision and device complexity.
3Reliability
If the robot adjusts detector orientation and position dynamically, then biological information reliability improves, but the time required for acquisition and adjustment increases
Solution Approach 1:
The system performs preliminary positioning and orientation adjustments of the detector before formal biological information acquisition begins. By pre-configuring optimal detector parameters based on initial user proximity detection, the system minimizes adjustment time during actual data collection, thereby improving reliability without significant time loss.
Solution Approach 2:
The robot implements periodic adjustments of detector orientation and position at optimized intervals rather than continuous adjustments. This periodic action maintains high biological information reliability by refreshing measurement conditions at appropriate moments while minimizing the total time spent on adjustments, thus resolving the time-reliability contradiction.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables the robot to naturally and reliably acquire biological information without user restraint, improving data accuracy and comfort by adjusting its position and pose to optimize data acquisition.
Implementation Method 1
a detector configured to acquire the biological information by using an electromagnetic wave
Data Source
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AI summary
A robot that can naturally acquire highly reliable biological information is provided. The robot according to one aspect of the present invention is a robot configured to acquire, in contact with or in proximity to a user, biological information of the user, and including an exterior member, a detector configured to acquire the biological information, using an electromagnetic wave, and a controller configured to control an operation of at least one of the robot or the detector such that at least one of an orientation, position, or pose of the detector relative to the user changes based on the biological information acquired by the detector.