Wearable Device Toothbrushing Recognition via Motion and Audio Sensors
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Solution Overview
Problem
Conventional smart toothbrushes require replacement and have limited accuracy in recognizing tooth-brushing situations, making it inconvenient to provide reliable information across different toothbrushes and environments.
Innovation Solution
A wearable electronic device equipped with a motion sensor, audio sensor, display, memory, and processor that identifies tooth-brushing hand motions and audio patterns to provide accurate and reliable tooth-brushing information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If smart toothbrushes are used to provide tooth-brushing information, then tooth-brushing information can be obtained, but the device requires periodic replacement and has limited accuracy in recognizing tooth-brushing situations
Solution Approach 1:
The patent introduces a wearable electronic device as an intermediary that captures audio signals and motion sensing information from the user's hand motions during tooth brushing. This mediator processes the data to identify tooth-brushing situations and provides information without requiring the toothbrush itself to have advanced recognition capabilities, thus resolving the contradiction between reliability and adaptability
Solution Approach 2:
The patent replaces the mechanical sensor system in smart toothbrushes with an audio-based recognition system in the wearable device. By using audio sensors to detect tooth-brushing sounds and motion sensors to detect hand motions, the system achieves more accurate and versatile recognition that works across different toothbrushes without requiring periodic replacement or calibration
2Measurement precision
If smart toothbrushes are used to recognize tooth-brushing situations, then tooth-brushing information can be provided, but the recognition accuracy is low leading to low reliability
Solution Approach 1:
The patent merges multiple sensing modalities - audio signals from the tooth-brushing process and motion sensing information from hand motions - into a unified recognition system. By combining these data sources and analyzing them together through pattern matching and machine learning, the system achieves high measurement precision in identifying tooth-brushing situations, which directly improves the reliability of the provided information
Solution Approach 2:
The patent changes the recognition parameters from simple motion detection to multi-parameter analysis including audio frequency patterns, motion amplitude, motion duration, and temporal patterns. By analyzing multiple parameters simultaneously and using machine learning models to identify characteristic patterns of tooth-brushing versus other hand motions, the system achieves high recognition accuracy and reliable information provision
3Loss of information
If conventional devices are used for tooth-brushing monitoring, then basic information can be obtained, but the information has low reliability due to low accuracy in recognizing tooth-brushing situations
Solution Approach 1:
The patent implements feedback mechanisms where the wearable device continuously monitors audio and motion data, compares it against learned patterns, and provides real-time feedback on tooth-brushing quality and duration. This feedback loop enables the system to adapt to individual user patterns and continuously improve recognition accuracy, reducing information loss and enhancing overall information quality
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
Enables users to receive consistent and accurate tooth-brushing information through a wearable device, independent of the toothbrush used, with improved reliability by accurately recognizing tooth-brushing motions and patterns.
Implementation Method 1
obtain motion sensing information via a motion sensor
Implementation Method 2
obtain an audio signal corresponding to the motion sensing information via an audio sensor
Data Source
AI summary
According to an embodiment, a wearable electronic device may include a motion sensor, an audio sensor, a display, a memory, and a processor electrically connected to the motion sensor, the audio sensor, and the memory. The processor may be configured to obtain motion sensing information via the motion sensor, obtain an audio signal corresponding to the motion sensing information via the audio sensor, identify a tooth-brushing hand motion type corresponding to the motion sensing information, identify an audio signal pattern corresponding to the tooth-brushing hand motion type, and identify, based on the tooth-brushing hand motion type and the audio signal pattern, a tooth-brushing hand motion. Other embodiments may also be possible.