Wearable Motion Sensor Attachment Check Using Posture References
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Solution Overview
Problem
Existing motion detection systems fail to detect abnormal attachment of sensors by comparing detected values with reference values when a user takes specific postures, as described in Japanese Unexamined Patent Application Publication No. 2022-34450.
Innovation Solution
A motion detection system and method that includes a sensor attached to a user, a setting unit to set detection reference values for sensor attachment positions based on predetermined postures, and a detection unit to compare detected values with these reference values to identify abnormal attachment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensor attachment position is not monitored, then device complexity is reduced, but measurement precision deteriorates due to abnormal attachment detection failure
Solution Approach 1:
The system performs preliminary action by setting detection reference values in advance for multiple predetermined postures before actual measurement. This allows the system to compare sensor readings against pre-established benchmarks, enabling abnormal attachment detection without adding complex real-time analysis mechanisms.
Solution Approach 2:
The system applies parameter changes by establishing detection reference values corresponding to different postures (standing, sitting, lying). By comparing sensor readings against posture-specific reference values, the system can detect abnormal attachment while adapting to natural variations in measurement data caused by different body positions.
2Reliability
If sensor attachment monitoring is implemented, then reliability is improved through abnormal attachment detection, but ease of operation deteriorates due to additional calibration steps
Solution Approach 1:
The system applies self-service by automatically detecting abnormal sensor attachment through comparison of sensor readings with pre-set reference values. The automatic detection mechanism eliminates the need for manual verification of sensor attachment correctness, allowing users to simply attach the sensor without requiring knowledge of proper attachment procedures.
Solution Approach 2:
The system implements feedback by comparing sensor measurements against detection reference values and automatically identifying abnormal attachment conditions. This closed-loop feedback mechanism provides real-time verification of sensor attachment status, improving reliability while maintaining ease of operation through automated monitoring.
3Measurement precision
If posture-specific reference values are established, then measurement precision is improved through accurate abnormal attachment detection, but device complexity increases due to multiple reference value sets
Solution Approach 1:
The system applies universality by using a single sensor that serves multiple functions: it measures both the detection value for abnormal attachment detection and the sensor value for actual motion measurement. The same sensor hardware and processing unit handle both detection reference value comparison and measurement reference value analysis, eliminating the need for separate sensor systems.
Solution Approach 2:
The system merges the abnormal attachment detection function with the measurement function by using the same sensor and processing unit for both purposes. Detection reference values and measurement reference values are managed within a unified system, reducing overall complexity despite the presence of multiple reference value sets for different postures.
Data Source
AI summary
A motion detection system includes: a sensor configured to be attached to a user and to detect a motion of the user; a setting unit configured to set a detection reference value associated with a sensor attachment position on the user for a plurality of predetermined postures; and a detection unit configured to detect abnormal attachment of the sensor by comparing a detected value from the sensor with the detection reference value when the user takes one of the predetermined postures.