一个可穿戴的助理设备,用于听力障碍者识别紧急车辆的警报声与边缘计算
Chiun-Li Chin1, Chia-Chun Lin1, Jing-Wen Wang1
1Department of Medical Informatics, Chung Shan Medical University, Taichung 40201, Taiwan.
Sensors (Basel, Switzerland)
|September 9, 2023
概括
这项研究开发了一种可穿戴辅助设备,用于听力受损者检测来自车辆的警告声音. 该设备使用基于EfficientNet的模型来准确检测警报,提高道路安全.
科学领域:
- 辅助技术 辅助技术 辅助技术
- 机器学习用于医疗保健
- 穿戴式计算可以穿戴.
背景情况:
- 听力障碍者面临着严重的道路安全风险,因为他们无法感知听觉警告.
- 现有的辅助设备可能无法充分解决交通和应急车辆声音带来的特定危险.
研究的目的:
- 为听力受损者开发一种可穿戴助理设备,利用边缘计算.
- 为了能够识别车辆警告声音,特别是警报器,以减轻道路危险.
主要方法:
- 一个基于EfficientNet的模糊的基于排名的合奏模型被开发出来,用于分类七种音频声音 (声调和警笛).
- 该模型嵌入了Arduino Nano 33 BLE Sense中,用于边缘计算.
- 音频信号被转换为光谱图,使用短时间里埃变换来提取特征.
主要成果:
- 该模型在分类音频声音方面实现了高精度 (97.1%离线,95.2%边缘计算).
- 可穿戴设备成功检测到警报器,并通过振动和OLED显示器提醒用户.
- 在离线和边缘计算场景中记录了高精度和灵敏度.
结论:
- 拟议的可穿戴助手设备在提高听力障碍者安全方面具有重大潜力.
- 边缘计算实现为实时警告声音检测提供了一个实用的解决方案.
- 这项技术可以通过向用户提供及时警报,帮助预防交通事故.
相关概念视频
01:31Hearing
52.5K
When we hear a sound, our nervous system is detecting sound waves—pressure waves of mechanical energy traveling through a medium. The frequency of the wave is perceived as pitch, while the amplitude is perceived as loudness.
52.5K
01:23Cardiopulmonary Resuscitation III: AED Use
38
Introduction to AEDAn Automated External Defibrillator (AED) is a portable medical device that analyzes the heart's rhythm and, if necessary, delivers an electrical shock to help the heart re-establish an effective rhythm during sudden cardiac arrest (SCA). SCA occurs when the heart suddenly and unexpectedly stops beating, leading to a loss of blood flow to the brain and other vital organs. In such emergencies, time is of the essence, and using an AED, combined with Cardiopulmonary...
38