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A Novel ECG-based Real-time Detection Method of Negative Emotions in Wearable Applications
Cheng, Zi; Shu, Lin; Xie, Jinyan; Chen, C. L. Philip; IEEE
2017
Conference Name2017 INTERNATIONAL CONFERENCE ON SECURITY, PATTERN ANALYSIS, AND CYBERNETICS (SPAC)
Pages296-301
Publication Place345 E 47TH ST, NEW YORK, NY 10017 USA
PublisherIEEE
AbstractEmotion recognition especially negative emotion detection has become a topic of considerable concern in both scientific research and practical applications. The inherent limitation is that a number of physiological signals are difficult to be monitored in daily life activities. This paper presents a novel method on negative emotion detection via feature fusion from only one-channel electrocardiogram (ECG) signal, which is able to instantaneously assess the subject' s state even in real-time events. A series of features have been calculated from the original ECG signal and its derived heart rate variability (HRV), including linear-derived features, nonlinear-derived features, time domain (TD) features, and time-frequency domain (T-F D) features, which are then fused for classification using SVM. The new method was implemented on the Bio Vid Emo DB dataset for evaluation, where the highest accuracy of 79.51% was achieved with minor time cost of 0.13ms in the classification of positive and negative emotion states. It exhibited a better performance than the relevant studies in the comparison experiments. This method is applicable for wearable negative emotion detection due to its acceptable accuracy, real-time performance, as well as the convenience of wearable one-channel ECG acquisition in daily activities.
KeywordECG real-time feature fusion negative emotion detection wearable applications
URLView the original
Indexed ByCPCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Cybernetics
WOS IDWOS:000428582800053
The Source to ArticleWOS
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被引频次[WOS]:2   [WOS记录]     [WOS相关记录]
Document TypeConference paper
专题University of Macau
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Cheng, Zi,Shu, Lin,Xie, Jinyan,et al. A Novel ECG-based Real-time Detection Method of Negative Emotions in Wearable Applications[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2017:296-301.
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