Multi-Person Baby Monitor Alarm Using Sleep-State Selection
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Solution Overview
Problem
Conventional baby monitors alert both parents when a baby needs attention, leading to sleep deprivation for both, as they cannot differentiate which parent is in a better condition to respond.
Innovation Solution
A system that collects sleep data from multiple individuals using trackers, analyzes the data, and determines which person is in the best condition to be alerted based on predefined criteria, using AI or rule-based logic, to selectively notify that person.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If both parents are alerted when the baby needs attention, then the baby receives timely care, but both parents experience sleep deprivation
Solution Approach 1:
The patent applies local quality by differentiating the alerting condition for each parent based on their individual sleep status. Instead of treating both parents equally, the system selectively alerts only the parent who is in a better condition to respond, thereby distributing the care responsibility unevenly but optimally based on real-time sleep quality assessment
Solution Approach 2:
The system performs preliminary assessment of parental sleep status before issuing an alert. By evaluating sleep quality metrics in advance and determining which parent is more suitable to be woken, the system prepares the optimal response strategy before the actual alert is sent, preventing unnecessary sleep disruption
2Reliability
If conventional baby monitors alert all users near the remote device, then no one is missed, but sleep loss increases for everyone
Solution Approach 1:
The patent changes the parameter of alert delivery by introducing sleep quality as a dynamic variable in the alerting decision process. The system continuously monitors and evaluates sleep parameters for each user and adjusts alert delivery based on these changing conditions, thereby optimizing the balance between notification reliability and sleep preservation
3Loss of energy
If sleep data is collected and analyzed to determine optimal alert recipient, then parental sleep is optimized, but system complexity increases
Solution Approach 1:
The patent replaces complex mechanical or manual decision-making systems with automated electronic sleep monitoring and analysis. By using sensors, processors, and algorithms to automatically assess sleep quality and determine alert recipients, the system achieves sophisticated functionality without requiring complex manual intervention or coordination between parents
Data Source
AI summary
Described herein are systems and techniques for improving the way multiple sleeping people decide who should wake up in response to crying baby. A system includes a processor coupled to a first sleep tracker, a second sleep tracker, and a sensor. The first sleep tracker tracks the sleep of a first person and sends sleep data to the processor, while the second sleep tracker tracks the sleep of a second person and sends sleep data to the processor. The sensor monitors a subject and sends a signal when a change with the subject is detected. The processor receives a signal from the sensor and compares the sleep data from the first and second sleep trackers. The processor also determines which of the first person or second person to alert based on the comparison and transmits an alert to one of the first person or the second person.