Nursing bed posture control via voice and image recognition
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Solution Overview
Problem
Existing nursing bed systems require care workers to manually adjust the posture of care recipients, which is burdensome and can cause discomfort or pain for the recipients, especially when their body size or condition varies.
Innovation Solution
A nursing bed system equipped with a posture changing device that acquires care recipient data through voice and image recognition, generates bed posture mode information based on the data, and automatically adjusts the bed posture to meet the care recipient's demands, thereby reducing the care worker's burden.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a robotic arm with pre-programmed operations is used to automatically change bed posture, then the care worker's burden is reduced, but the care recipient may experience displeasure and pain due to fixed program operations that cannot adapt to individual body sizes and conditions
Solution Approach 1:
The care recipient can directly input their own posture preferences and requirements through the input interface, eliminating the need for pre-programming by care workers. The system serves itself by automatically adjusting bed posture based on real-time input data from the care recipient, making the system adaptable to individual needs without requiring manual program customization.
Solution Approach 2:
The bed posture control program transitions from a fixed, static configuration to a dynamic system that can be changed in real-time. The program content is no longer fixed but can be flexibly adjusted based on varying input conditions from the care recipient, allowing the system to adapt to different body sizes, conditions, and preferences.
2Adaptability or versatility
If the care worker manually adjusts the bed posture according to care recipient needs, then the posture can be customized, but the care worker's burden increases significantly
Solution Approach 1:
The manual mechanical adjustment process performed by the care worker is replaced with an automated control system. The input device and control unit automatically process the care recipient's preferences and generate appropriate bed posture adjustments, substituting the mechanical manual operation with an automated control mechanism that reduces human burden while maintaining customization capability.
Solution Approach 2:
The care recipient becomes the primary operator of the system by directly inputting their own posture requirements. This self-service approach eliminates the need for care worker intervention in posture adjustment, allowing the system to automatically customize bed positions according to the care recipient's own specifications without requiring manual labor from care workers.
3Reliability
If the care worker continuously monitors the care recipient, then the care recipient's comfort and safety are improved, but the care worker's burden increases
Solution Approach 1:
The system incorporates real-time feedback mechanisms where the care recipient's input is continuously processed by the control unit. The control unit receives input data, determines appropriate posture adjustments, and executes changes automatically. This closed-loop feedback system enables continuous monitoring and adjustment without requiring constant human oversight, as the system self-regulates based on incoming data.
Data Source
AI summary
A nursing bed system includes a nursing bed and a nursing bed posture changing device. The nursing bed posture changing device includes care recipient data acquiring circuitry that acquires care recipient data containing at least one of voice data of a care recipient who lies on the nursing bed, and image data obtained by imaging the care recipient, bed posture information generating circuitry that generates bed posture mode information according to a demand by the care recipient based on the care recipient data, and posture changing circuitry that changes the posture of the nursing bed based on the bed posture mode information.