Wearable Device Detection Using Distance and Body Characteristics
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Solution Overview
Problem
Existing wearable devices face challenges in accurately determining if they are worn by a user due to interference from metal objects and external conditions, leading to low detection precision and inconvenience.
Innovation Solution
The method involves using a combination of a distance sensor and human body characteristic sensors to detect the distance between the wearable device and the user, as well as body characteristic values such as temperature, heart rate, or blood flow velocity, to determine if the device is worn, with preset thresholds ensuring accurate detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a capacitive sensor is used for detection, then the device structure is simple, but detection precision deteriorates when metal objects approach
Solution Approach 1:
The patent combines multiple detection modules (capacitive sensor, optical sensor, distance sensor) into an integrated detection system. This merging allows the system to cross-validate signals and distinguish between metal objects and human bodies more accurately, resolving the contradiction between simple structure and precise detection under interference conditions.
Solution Approach 2:
The detection system is designed to perform multiple functions: detecting proximity, identifying material type (metal vs. human), and determining wear state. By making the detection system multi-functional, it can accurately detect human body presence even when metal objects are nearby, overcoming the limitations of single-function capacitive sensors.
2Device complexity
If a single sensor or attribute is used for detection, then the device complexity is low, but detection precision deteriorates under external conditions
Solution Approach 1:
The patent merges multiple sensor types (capacitive, optical, distance sensors) and multiple attributes (capacitance value, light reflection, distance measurement) into a unified detection system. This combination enables the system to maintain high detection precision by cross-referencing multiple data sources, overcoming the limitations of single-sensor approaches.
Solution Approach 2:
The system implements feedback mechanisms where detection results from one sensor type inform the interpretation of signals from other sensors. For example, distance sensor data provides feedback to help interpret capacitive sensor readings, enabling the system to distinguish between close metal objects and human bodies wearing the device.
3Ease of operation
If capacitive sensor detection is used, then the detection method is simple, but reliability deteriorates when another object approaches
Solution Approach 1:
The patent combines multiple detection methods (capacitive sensing, optical sensing, distance measurement) into a unified reliability framework. By merging these approaches, the system achieves high reliability in determining wear state, as the combination of methods compensates for the weaknesses of individual methods when other objects approach.
Solution Approach 2:
The system performs more detection actions than strictly necessary by incorporating multiple sensor types and evaluation criteria. This excessive action ensures high reliability by providing multiple lines of evidence for wear state determination, overcoming the reliability issues of simpler capacitive-only approaches.
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
This approach enhances detection accuracy by distinguishing between the user and external objects, providing a high success rate for determining if the wearable device is correctly worn, unaffected by external conditions.
Implementation Method 1
detecting, by a distance sensor comprised in the wearable device, a value of a distance between the wearable device and a user
Implementation Method 2
detecting, by a human body characteristic sensor comprised in the wearable device, a body characteristic value of the user
Data Source
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AI summary
Embodiments of the present invention disclose a detection method for a wearable device and a wearable device. The method includes: detecting a value of a distance between the wearable device and a user; detecting a body characteristic value of the user; and determining that the wearable device is worn on the user, if the value of the distance between the wearable device and the user is less than or equal to a preset distance threshold and the body characteristic value of the user does not exceed a preset threshold of the body characteristic value of the user. According to the detection method for a wearable device and the wearable device in the embodiments of the present invention, whether a user wears a wearable device can be determined quickly and accurately by detecting a value of a distance between the wearable device and the user and a body characteristic value of the user, and a detection success rate is high.