移动实时唤醒检测

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Pub Date : 2014-07-14 DOI:10.1109/ICASSP.2014.6854432

V. Alexandratos, M. Bulut, R. Jasinschi

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引用次数: 15

摘要

我们介绍了一种移动系统，能够根据心电图和皮肤电活动实时检测唤醒。该系统使用安卓智能手机和可穿戴传感器，其中包括智能手表和心率带，分别收集皮肤电导和心率数据。开发了处理皮肤电导和心率数据的算法，以及标记收集的“唤醒”和“非唤醒”实验数据的自动方法。小规模用户测试显示，10倍唤醒检测准确率为84%，受试者之间为83%，新受试者唤醒检测准确率为68%。

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Mobile real-time arousal detection

We introduce a mobile system that is able to detect arousal in realtime based on electrocardiogram and electrodermal activity. The system is using an Android smartphone and wearable sensors, which include a smart watch and a heart rate belt that gather skin conductance and heart rate data, respectively. Algorithms for processing the skin conductance and heart rate data, as well as an automated method for labeling the collected `arousal' and `non-arousal' experimental data are developed. Small-scale user tests show 84% 10-fold, 83% between-subject, and 68% new-subject arousal detection accuracy.

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来源期刊

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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