Non-Contact Sensor Sleep Onset Prediction for Care Assistance
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Solution Overview
Problem
Conventional methods cannot predict when a subject will fall asleep before they actually fall asleep, making it difficult to provide timely assistance such as toothbrushing, clothing changes, or medication without waking the subject.
Innovation Solution
An information processing device that acquires biological information using non-contact sensors to predict when a subject will fall asleep, utilizing a prediction unit and notification unit to alert assistants before the subject falls asleep, allowing for timely assistance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional sleep stage estimation methods are used, then sleep stage can be estimated after falling asleep, but prediction of when the subject will fall asleep before falling asleep is not enabled
Solution Approach 1:
The system performs preliminary analysis of biological information (heartbeat data, body movement data, breathing data) to predict the sleep onset time before the subject actually falls asleep. The prediction unit calculates a predicted value indicating probability of falling asleep within a predetermined time period, and the notification unit alerts assistants in advance, enabling them to provide assistance before sleep occurs without waking the subject.
Solution Approach 2:
The system continuously monitors biological information and updates the predicted value in real-time. The notification unit provides feedback to assistants when the predicted value exceeds a threshold, creating a closed-loop system that adjusts assistance timing based on actual physiological data trends rather than fixed schedules.
2Ease of operation
If assistance is provided after the subject falls asleep, then the subject can be assisted, but the subject may be woken up during assistance
Solution Approach 1:
The notification unit alerts assistants in advance when the subject is predicted to fall asleep within the predetermined time period. This allows assistants to complete necessary assistance tasks (toothbrushing, clothing changes, medication) before the subject enters deep sleep, ensuring both assistance is provided and sleep continuity is maintained.
3Ease of operation
If non-contact sensors are used to acquire biological information, then measurement can be performed without contact, but the complexity of the system increases
Solution Approach 1:
The system uses a single non-contact sensor that can measure multiple biological parameters simultaneously (heartbeat data, body movement data, breathing data). This multi-functional approach reduces the need for multiple separate sensors and contact points, simplifying the overall system while maintaining comprehensive monitoring capability.
Data Source
AI summary
A falling asleep prediction device includes a biological data acquisition unit that acquires biological information on a subject, a falling asleep prediction unit that predicts that the subject falls asleep after predetermined time by using the biological information, and a notification processing unit that notifies that the subject falls asleep after the predetermined time.