Sleep State Detection via Reflection Signals and Breathing Sounds
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Solution Overview
Problem
Existing electronic apparatuses face limitations in accurately sensing user sleep states due to the need for close proximity of sensors and the burden of data processing in analyzing ambient sounds, which can lead to privacy concerns and inefficiencies.
Innovation Solution
An electronic apparatus equipped with a communication interface, microphone, and processors that use reflection signals to identify user posture and breathing sounds, activating sleep recognition functions while deactivating voice recognition to efficiently obtain sleep state information, and transmitting this data to external devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensors are placed close to the user to accurately sense sleep states, then measurement precision is improved, but device complexity and privacy risks increase
Solution Approach 1:
The patent segments the sensing functions into two parts: reflection signal processing for posture detection (using communication interface) and audio processing for breathing sound detection (using microphone). This segmentation allows the system to achieve accurate sleep state detection without requiring close-proximity sensors, as each sensing modality operates independently through different physical principles.
Solution Approach 2:
The patent uses reflection signals as an intermediary to detect user posture indirectly. Instead of placing sensors directly on or near the user, the system transmits signals that reflect off the user and analyzes the reflected patterns to determine posture and sleep state, thereby maintaining measurement precision while reducing device complexity and privacy concerns.
2Measurement precision
If ambient sounds are analyzed to identify sleep states, then measurement precision is improved, but data processing burden increases
Solution Approach 1:
The patent extracts only the relevant audio feature (breathing sound) from the ambient sound environment, rather than analyzing all ambient sounds. By focusing specifically on breathing patterns and excluding other sound sources, the system maintains high measurement precision while significantly reducing the data processing burden associated with comprehensive ambient sound analysis.
Solution Approach 2:
The patent applies partial action by selectively processing only the breathing sound component of ambient audio,而非 analyzing all ambient sounds. This approach achieves sufficient sleep state identification accuracy by focusing on the most relevant acoustic indicator while avoiding the excessive data processing that would result from comprehensive ambient sound analysis.
3Adaptability or versatility
If voice recognition function is activated during sleep state, then adaptability is improved, but sleep state identification accuracy deteriorates
Solution Approach 1:
The patent implements dynamic function switching based on detected sleep state. The system automatically activates voice recognition when the user is awake and deactivates it during sleep, while maintaining sleep state monitoring. This dynamic adaptation allows the system to provide voice command responsiveness when needed while preserving sleep state identification accuracy by suppressing voice recognition during sleep periods.
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
This approach allows for accurate and efficient identification of user sleep states with reduced data processing burdens and privacy risks, enabling customized services based on sleep stages and states.
Implementation Method 1
a first reflection signal received via the communication interface
Implementation Method 2
a breathing sound of the user identified by audio obtained via the microphone
Data Source
AI summary
An electronic apparatus includes a communication interface, a microphone, a memory storing at least one instruction, and one or more processors connected to the communication interface, the microphone, and the memory and configured to the electronic apparatus, and the one or more processors are configured to, based on identifying that a user's state corresponds to a sleep state according to a first reflection signal received via the communication interface, not perform a voice recognition function corresponding to a user voice input and perform a sleep recognition function to obtain information corresponding to the sleep state based on the obtained audio, and while the sleep recognition function is being performed, obtain information corresponding to the user's sleep state based on the user state identified by a second reflection signal received via the communication interface and a breathing sound of the user identified by audio obtained via the microphone.