Wake-Up Sequence Calibration Using Sensor-Based Stimulus Timing
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Solution Overview
Problem
Existing wake-up systems lack personalization, as they do not account for individual differences in response to wake-up stimuli, leading to inefficient and potentially disruptive wake-up methods.
Innovation Solution
A system and method for calibrating a wake-up sequence using a test wake-up sequence, where sensor data is used to determine when a user is asleep and stimulus mechanisms are activated to record the elapsed time until the user wakes up. The calibrated wake-up sequence includes stimulus mechanisms with elapsed times below a threshold, ensuring effective and gentle wake-up.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a wake-up system uses a fixed wake-up stimulus for all users, then the system is simple to operate, but it does not account for individual differences in response to wake-up stimuli
Solution Approach 1:
The system performs preliminary testing during a calibration period before actual use, exposing the user to multiple test wake-up sequences and recording responses. This preliminary data collection enables the system to create a personalized wake-up sequence that adapts to individual user characteristics without requiring complex real-time adjustments during normal operation.
Solution Approach 2:
The system incorporates feedback mechanisms by monitoring user responses to test wake-up sequences during calibration, recording elapsed times and effectiveness. This feedback is used to iteratively refine and customize the wake-up sequence for each individual user, allowing the system to adapt to personal variations in wake-up response while maintaining operational simplicity.
2Reliability
If the system tests multiple wake-up sequences to find the most effective one, then wake-up effectiveness is improved, but the calibration process takes more time
Solution Approach 1:
The system employs a limited set of predefined test wake-up sequences with varying characteristics (different stimulus types, intensities, and durations) rather than testing all possible combinations. This partial testing approach achieves sufficient calibration effectiveness without requiring excessive time, balancing reliability with acceptable calibration duration.
3Adaptability or versatility
If the system uses multiple stimulus mechanisms with different activation times, then wake-up effectiveness for individual users is improved, but the device complexity increases
Solution Approach 1:
The wake-up system is divided into multiple independent stimulus mechanisms (optical, acoustic, haptic) that can be individually activated at different times and intensities. Each mechanism operates as a separate module with its own control parameters, allowing the system to customize wake-up sequences by selectively combining and timing these segmented components based on user calibration data, thereby achieving adaptability without excessive overall complexity.
Data Source
AI summary
A system and a method for calibrating a wake-up sequence for a user includes determining that the user is asleep based upon sensor data, activating one or more stimulus mechanisms for a set period of time in a test wake-up sequence upon occurrence of a wake-up condition, determining an elapsed time within the set period of time of the one or more stimulus mechanisms being activated in the test wake-up sequence at which the user wakes from sleep based on additional sensor data, comparing the elapsed time to a threshold time indicative of a sufficient wake-up time, and determining a calibrated wake-up sequence including the one or more stimulus mechanisms having elapsed times below the threshold time.