Adaptive Vehicle Seating Using Posture and Physiological Sensing
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Solution Overview
Problem
Conventional seating systems fail to provide optimal support and comfort for individuals due to varying user needs during different activities, leading to discomfort, reduced alertness, and potential spinal damage from poor ergonomics.
Innovation Solution
The Intelligent Seat System (ISS) actively adjusts to improve comfort and safety by measuring pressure, posture, and physiological state, using machine vision and machine learning to tailor settings based on user preferences and driving environments, incorporating adjustable air bladders and integrated sensors for real-time ergonomic adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional seating systems are used, then the structure is simple and cost-effective, but they fail to provide optimal support and comfort for individuals with varying user needs during different activities
Solution Approach 1:
The seating system transitions from a static configuration to a dynamic one by incorporating sensors that continuously monitor user posture, pressure distribution, and physiological states. The system actively adjusts seat parameters such as lumbar support, cushion firmness, and recline angle in real-time based on detected user conditions, enabling adaptability without requiring multiple fixed-position seats.
Solution Approach 2:
The system employs machine learning algorithms that automatically analyze sensor data and determine optimal seating configurations without user intervention. The AI model learns from user responses and environmental context to autonomously adjust seat settings, eliminating the need for manual controls or complex user-programming interfaces while maintaining high adaptability.
2Adaptability or versatility
If seating systems are manually adjusted to provide proper support, then comfort and ergonomics improve, but it becomes difficult to accommodate different user needs during different activities
Solution Approach 1:
The system incorporates sensors that continuously monitor user posture, pressure points, and physiological indicators such as heart rate and breathing patterns. This feedback loop enables the system to detect when a user is experiencing discomfort or poor ergonomics and automatically adjusts seating parameters to correct these issues, accommodating different user needs during various activities without requiring manual adjustment.
Solution Approach 2:
Manual mechanical adjustment mechanisms are replaced with an intelligent control system that uses sensors, processors, and actuators. The system substitutes physical manual manipulation with automated electronic control, allowing seamless adaptation to different users and activities through software-based parameter adjustment rather than mechanical reconfiguration.
3Productivity
If seating systems provide fixed support configurations, then the structure is simple, but poor seating ergonomics over time may disrupt persons' alertness, restfulness, and productivity
Solution Approach 1:
The system introduces an intelligent control unit as an intermediary between the user and the seating system. This mediator processes sensor data, applies machine learning algorithms to assess user state, and automatically adjusts seating parameters to maintain optimal ergonomics. The intermediary enables the system to proactively respond to changes in user alertness and productivity levels without direct user input.
Solution Approach 2:
The patent replaces static mechanical support structures with an active intelligent system that uses sensors, processors, and motors to dynamically adjust seating parameters. This substitution enables continuous monitoring of user physiological states and automatic modification of seat configuration to maintain productivity and alertness, transforming a passive mechanical system into an active adaptive one.
Data Source
AI summary
An ISS is a seating system that actively adjusts to improve an occupant's comfort, performance, and safety in a specific driving environment. The ISS determines the occupant's posture, position on the seat surface, and/or physiological state, for example, by applying a machine vision process. The ISS can further determine a driving environment. The ISS adjusts its settings and settings of the vehicle according to one or more factors such as an occupant's posture, the occupant's physiological state, the occupant's preferences, and/or the driving environment. The ISS can include a state machine that determines a current state and determines if a change has occurred such that the system should shift to another state that best suits this change. The ISS makes adjustment according to system settings associated with the best suitable state.