Vehicle Seat Posture Alerts With Personalized Comfort Thresholds
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Solution Overview
Problem
Existing vehicle seat systems fail to effectively monitor and adjust to the occupant's posture to enhance comfort and safety, particularly in preventing prolonged fixed postures that may lead to discomfort or health issues.
Innovation Solution
A system comprising sensors integrated into the seat to detect posture, a controller to calculate comfort indices, and alert devices to provide real-time feedback and adjustments based on personalized parameters to correct harmful postures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing posture correction systems use fixed alert thresholds for all users, then the system is simple to implement, but it generates intrusive alerts and fails to adapt to individual users
Solution Approach 1:
The system performs preliminary actions by collecting postural data during an initial period and establishing personalized reference values before normal operation begins. This preliminary calibration phase allows the system to adapt to each user's specific postural characteristics without adding complexity during active monitoring, as the adaptation logic is pre-computed and stored.
Solution Approach 2:
The system enables self-service by automatically learning and adapting to each user's postural patterns without requiring manual configuration or intervention. The system autonomously establishes personalized reference values based on collected data and continuously adjusts alert thresholds according to individual user characteristics, eliminating the need for complex manual setup procedures.
2Reliability
If the system generates alerts for every postural anomaly detected, then real-time feedback is provided, but user satisfaction decreases due to intrusive alerts
Solution Approach 1:
The system applies local quality by differentiating between transient and sustained postural anomalies through temporal analysis. Instead of treating all postural deviations uniformly, the system locally adapts its response based on the specific characteristics of each anomaly, providing alerts only for sustained incorrect postures that exceed personalized reference values, thereby maintaining detection accuracy while reducing unnecessary user interruptions.
Solution Approach 2:
The system implements intelligent feedback by continuously monitoring postural data, comparing it against personalized reference values, and providing selective alerts only when sustained incorrect postures are detected. The feedback mechanism learns from user responses and adjusts its behavior accordingly, ensuring that alerts are both reliable and user-friendly rather than merely frequent.
3Device complexity
If the system cannot differentiate between transient and sustained postural issues, then the detection logic is simple, but safety risks increase due to false alerts
Solution Approach 1:
The system applies dynamics by introducing temporal analysis to distinguish between transient and sustained postural anomalies. The detection logic dynamically evaluates postural data over time windows, adapting its assessment based on the duration and persistence of detected deviations. This dynamic approach maintains relatively simple detection logic while significantly improving alert accuracy by filtering out transient fluctuations that do not represent genuine safety concerns.
Data Source
AI summary
A method and a system for assisting in correcting the posture of an occupant of a vehicle seat, comprising:a. collecting the posture of the occupant of the seat via sensors;b. calculating comfort indices;c. comparing them with reference values;d. generating a first alert signal intended for a first alert device when a reference value is reached; ande. generating a second alert signal intended for first and/or second alert devices when another reference value is reached.