SEUS: A Wearable Multi-Channel Acoustic Headset Platform to Improve Pedestrian Safety: Demo Abstract
SEUS: A Wearable Multi-Channel Acoustic Headset Platform to Improve Pedestrian Safety: Demo Abstract
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SEUS：可提高行人安全的可穿戴多通道声学耳机平台：演示摘要
DOI：
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
Xiaofan Jiang
中科院分区：
文献类型：
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作者：
Rishikanth Chandrasekaran;Daniel de Godoy;S. Xia;Md Tamzeed Islam;Bashima Islam;S. Nirjon;P. Kinget;Xiaofan Jiang
随着智能手机的普及，如今的行人和慢跑者经常一边散步或跑步一边听音乐。由于他们被剥夺了可以提供重要危险提示的听觉能力，因此他们被汽车或其他车辆撞到的风险要大得多。在本次演示中，我们展示了 SEUS，这是一种旨在增强城市安全感的可穿戴系统。 SEUS 采用三级架构，包括安装在耳机上的音频传感器、用于信号处理和特征提取的嵌入式前端以及智能手机上基于机器学习的分类，为行人提供实时的早期危险检测。
With the prevalence of smartphones, pedestrians and joggers today often walk or run while listening to music. Since they are deprived of their auditory senses that would have provided important cues to dangers, they are at a much greater risk of being hit by cars or other vehicles. In this demonstration we present SEUS, a wearable system aimed at Sense Enhancement for Urban Safety. SEUS uses a three-stage architecture, consisting of headset mounted audio sensors, an embedded front-end for signal processing and feature extraction, and machine learning based classification on a smartphone, to provide early danger detection for pedestrians in real-time.