Massage Chair Sleep Mode Control Using ANN Habit Learning
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Solution Overview
Problem
Conventional massage chairs fail to provide customized and convenient experiences for users, lacking the ability to adapt to individual sleep patterns and habits, which affects user comfort and convenience.
Innovation Solution
A massage chair equipped with an artificial neural network (ANN) that learns user sleep habit patterns to adjust its operation, switching between massage and sleep modes to optimize comfort and convenience, and includes a display unit that adjusts its position and icon size based on user needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the massage chair operates with fixed massage modes, then the device complexity is reduced, but the adaptability to user sleep patterns deteriorates
Solution Approach 1:
The massage chair automatically detects user sleep states through sensors and adjusts massage parameters without manual intervention. The system self-adapts to user needs by monitoring physiological signals and autonomously modifying massage intensity, duration, and type, eliminating the need for complex user interfaces while achieving high adaptability.
Solution Approach 2:
The system incorporates sensors that continuously monitor user physiological states during massage sessions. This feedback mechanism allows the massage chair to detect changes in sleep patterns and adjust massage parameters in real-time, creating a closed-loop control system that improves adaptability without requiring complex pre-programming.
2Ease of operation
If the massage chair uses standardized operation procedures, then the ease of operation is improved, but the personalized comfort deteriorates
Solution Approach 1:
The massage chair performs automatic user authentication and profile selection through biometric sensors or simple interaction methods. Once authenticated, the system automatically loads personalized massage programs and adjusts parameters according to stored user preferences and real-time physiological data, maintaining simplicity while delivering personalized comfort.
Solution Approach 2:
User profiles and personalized massage preferences are pre-configured and stored in the system memory. When a user enters the massage chair, the system automatically retrieves and applies the appropriate personalized settings without requiring the user to manually configure parameters, thus maintaining ease of operation while achieving personalization.
3Ease of operation
If the display unit maintains fixed position and size, then the device complexity is reduced, but the user interaction quality deteriorates
Solution Approach 1:
The display unit is designed with adjustable position and size capabilities that respond to detected user states. When the system detects the user is in a sleep mode, the display automatically adjusts its position and dimensions to provide optimal viewing comfort. This dynamic adjustment is controlled through simple actuators and control algorithms, improving interaction quality without significantly increasing device complexity.
Data Source
AI summary
An operating method of a massage chair comprising: driving the massage chair according to a massage mode; acquiring a user state; when he user state has a sleep mode, changing the massage mode to the sleep mode and driving the massage chair according to the changed sleep mode, and controlling an object related to the sleep mode to be adjusted; and driving the massage chair according to an optimal sleep mode by learning an artificial neural network (ANN) so as to acquire the optimal sleep mode corresponding to sleep habit pattern data in the sleep mode.