Smart Headset Heart Sound Identity Authentication
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Solution Overview
Problem
Existing identity authentication and emotion monitoring technologies for smart headsets are inconvenient, insecure, and lack accuracy, with existing methods being cumbersome, prone to privacy leaks, and susceptible to external factors.
Innovation Solution
A smart headset with an earplug part and main body, equipped with a microphone and wearing detection sensor, uses signal amplification and a microcontroller to extract heart sound signals for autonomous identity authentication and emotion monitoring, providing real-time internal emotion tracking without additional electrodes or external interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If EEG electrodes are added to the in-ear part of the headset for identity authentication, then identity recognition accuracy is improved, but device complexity and ease of operation deteriorate due to complicated collecting devices and demanding collecting conditions
Solution Approach 1:
The patent extracts the heart sound signal collection function from the complex EEG electrode system. Instead of using multiple electrodes to collect EEG signals, the invention uses a single in-ear microphone to collect heart sound signals directly through the ear canal, eliminating the need for complex electrode attachments and reference electrodes while maintaining identity recognition capability
Solution Approach 2:
The patent replaces the mechanical electrode-contact-based EEG collection system with an acoustic-based heart sound collection system. The in-ear microphone captures acoustic heart sounds through the ear canal, substituting the mechanical electrode-skin contact method with a non-contact acoustic measurement approach, thereby simplifying the device structure
2Reliability
If additional electrodes are attached to the earlobe for EEG collection, then identity authentication capability is improved, but ease of operation deteriorates due to inconvenient actual use
Solution Approach 1:
The patent removes the earlobe electrode attachment requirement entirely. By extracting the identity authentication function to rely solely on heart sound signals collected by the in-ear microphone, the system eliminates the need for users to attach additional electrodes to their earlobes, making the device as easy to use as wearing a regular headset
Solution Approach 2:
The heart sound signal collection process is completely passive and automatic. Once the headset is worn, the in-ear microphone automatically collects heart sound signals without requiring any user action for electrode attachment or positioning. The system serves itself by utilizing the natural acoustic environment in the ear canal
3Measurement precision
If specific audio signals are played through the headset for identity authentication, then identity recognition accuracy is improved, but ease of operation deteriorates due to user disturbance from played sounds
Solution Approach 1:
Instead of playing audio signals through the headset speaker and collecting echoes (active method), the patent inverts the approach by passively collecting heart sound signals produced naturally by the user's body. The system listens to the user's own heart sounds rather than playing external sounds and analyzing reflections, eliminating user disturbance while maintaining identity recognition accuracy
Solution Approach 2:
The user's own heart serves as the signal source without requiring external audio stimulation. The heart sound signals are generated naturally by the user's cardiovascular system and are collected passively by the in-ear microphone, making the authentication process convenient and non-intrusive
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
The smart headset system offers secure, accurate, and convenient identity authentication and emotion monitoring, protecting user privacy while being low in hardware costs and suitable for daily use, with high accuracy in identity authentication (95%) and emotion recognition (90% for registered users and 70% for general-purpose models).
Implementation Method 1
a first microphone... is configured to obtain a sound signal in an ear canal
Implementation Method 2
The sound signal is amplified by the signal amplification circuit
Data Source
AI summary
A method for user recognition and emotion monitoring based on a smart headset is provided. The smart headset includes an earplug part and a main body, wherein the earplug part is provided with a first microphone and a wearing detection sensor, and a housing of the main body is provided with a signal amplification circuit, a communication module, and a microcontroller. The wearing detection sensor is to detect whether a user wears the smart headset, and the first microphone is to obtain a sound signal in an ear canal. The sound signal is amplified, and then is outputted to the microcontroller. The amplified sound signal is transmitted by the microcontroller to a smart terminal paired with the smart headset to extract a heart sound signal characteristic, and legality of—identity of the user is validated and emotional state of the user is inferred according to the heart sound signal characteristic.