听力损失风险评估方法、系统、智能设备和存储介质

By working in tandem with near-ear wearable devices and cloud servers, audio signals are automatically collected and analyzed, solving the problems of convenience and accuracy in hearing loss risk assessment and expanding the accessibility of the assessment.

CN120788568BActive Publication Date: 2026-07-17SHENZHEN HORN AUDIO

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SHENZHEN HORN AUDIO
Filing Date
2025-06-25
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing methods for assessing the risk of hearing loss are inadequate in terms of convenience, accuracy, and accessibility, especially for people at high risk of hearing loss, such as the middle-aged and elderly, making it difficult to detect and assess hearing problems in a timely manner.

Method used

Audio signals are collected by acoustic sensors on near-ear wearable devices, sound sources are classified and labeled using machine learning models, and the average signal intensity is periodically calculated. The results are then combined with cloud servers to assess the risk of hearing loss.

Benefits of technology

It enables convenient hearing loss risk assessment without user intervention, improving the accuracy and accessibility of the assessment, and is suitable for a wide range of users.

✦ Generated by Eureka AI based on patent content.

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Abstract

本申请适用于智能设备技术领域,提供了一种听力损失风险评估方法、系统、智能设备和存储介质,所述方法包括:近耳可穿戴设备通过配置的声学传感器采集音频信号,基于当前的工作模式,对音频信号进行声源分类标记,按照设定的时间间隔或触发条件,统计各声源类型音频信号的信号强度均值,向用户对应的云端服务器发送声源分类标记及统计的信号强度均值,指示云端服务器根据声源分类标记及统计的信号强度均值,对用户进行听力损失风险评估。本申请可有效提高听力损失风险评估的便捷性、准确性和普及性。
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