AI Anti-Snoring Pillow With Adjustable Head Positioning
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Solution Overview
Problem
Existing anti-snoring pillows fail to accommodate varying user needs due to fixed height and single control modes, and lack customization for different snoring patterns and environments, making it difficult to effectively reduce snoring for all users.
Innovation Solution
An anti-snoring pillow system comprising an air pump box with noise reduction structures, a mobile application, and a database server, utilizing Bluetooth and WiFi connectivity, with a head position sensor, microphone board, and AI learning to detect snoring, adjust head position, and optimize settings for reduced snoring, offering adjustable height and multiple control modes for personalized use.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a fixed height pillow design is used, then the manufacturing cost and device complexity are reduced, but the adaptability to different user needs and snoring patterns deteriorates
Solution Approach 1:
The patent implements adjustable height settings that allow the pillow to dynamically adapt to different user needs and snoring patterns. The control system can modify the pillow's configuration in real-time based on detected snoring conditions, transforming a static fixed-height design into a dynamic adjustable system that resolves the contradiction between adaptability and complexity.
Solution Approach 2:
The patent changes the physical parameters of the pillow by providing multiple height settings and adjustable configurations. By allowing users to select from different height parameters and firmness levels, the system achieves adaptability to various user requirements without requiring complete redesigns, thus managing the complexity while improving versatility.
2Adaptability or versatility
If multiple control modes and customization options are added, then the adaptability to different snoring patterns improves, but the device complexity and manufacturing cost increase
Solution Approach 1:
The patent implements a multi-functional control system that can operate in different modes (manual control, automatic detection, hybrid mode) within a single unified device. The control unit serves multiple purposes: detecting snoring, adjusting height, controlling firmness, and providing user feedback. This universal approach allows the system to adapt to different snoring patterns without requiring separate specialized devices for each function, thereby managing complexity while improving customization capability.
3Object-affected harmful factors
If noise reduction structures are added to the air pump box, then the user comfort and sleeping environment improve, but the device complexity and manufacturing cost increase
Solution Approach 1:
The patent converts the harmful noise generated by the air pump into a beneficial feature by implementing noise reduction structures that actively manage and minimize the disturbance. The air pump remains essential for adjusting pillow firmness and height, but surrounding it with noise-absorbing materials and designing the housing to dampen sound transforms the harmful acoustic output into an acceptable operational characteristic, maintaining the pump's functionality while reducing its negative impact on user comfort.
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
The system effectively reduces snoring by dynamically adjusting head position and settings based on user-specific patterns, providing a comfortable and customizable solution for diverse users, improving sleep quality through AI-enhanced noise differentiation and adjustable height options.
Implementation Method 1
the air pump box comprises a sponge tier, a metallic conduit tier, an intensification sponge tier, a plastic tier, a sound silencing box, and a shell
Implementation Method 2
two sound silencing boxes A and B are provided
Data Source
AI summary
Provided herein is a system for snoring reduction of a user, having an anti-snoring pillow, a mobile application, a processor, and a database server; wherein the system is configured to perform operations comprising detecting snoring, and intervening with a position of the user's head until the snoring is reduced; the anti-snoring pillow housing air bags, a head position sensor, and a microphone board for the detection of snoring, wherein the mobile application is accessible by the user on a mobile device; wherein the processor is configured to perform operations comprising detecting snoring, intervening with the user's head position by inflating or deflating one or more of the air bags, analyzing patterns from the user, comparing the patterns from the user before and after the intervention, and utilizing artificial intelligence learning to optimize the settings based on the analysis and comparison for achieving a desired pattern from the user.