兰州大学机构库
EPIC: Emotion Perception by Spatio-Temporal Interaction Context of Gait
H. Lu; S. Xu; S. Zhao; X. Hu; R. Ma; B. Hu
2023-01-02
Source PublicationIEEE Journal of Biomedical and Health Informatics   Impact Factor & Quartile Of Published Year  The Latest Impact Factor & Quartile
ISSN2168-2208
EISSN2168-2208
Volume28Issue:5Pages:2592-2601
page numbers10
AbstractRecently, psychophysiological computing has received considerable attention. Due to easy acquisition at a distance and less conscious initiation, gait-based emotion recognition is considered as a valuable research branch in the field of psychophysiological computing. However, most existing methods rarely explore the spatio-temporal context of gait, which limits the ability to capture the higher-order relationship between emotion and gait. In this paper, we utilize a range of research, including psychophysiological computing and artificial intelligence, to propose an integrated emotion perception framework called EPIC, which can find novel joint topology and generate thousands of synthetic gaits by spatio-temporal interaction context. First, we analyze the joint coupling among non-adjacent joints by calculating Phase Lag Index (PLI), which can discover the latent connection among body joints. Second, to synthesize more sophisticated and accurate gait sequences, we explore the effect of spatio-temporal constraints, and propose a new loss function that utilizes the Dynamic Time Warping (DTW) algorithm and pseudo-velocity curve to constrain the output of Gated Recurrent Units (GRU). Finally, Spatial Temporal Graph Convolution Networks (ST-GCN) is used to classify emotions using the generation and the real data. Experimental results demonstrate our approach achieves the accuracy of 89.66%, and outperforms the state-of-the-art methods on Emotion-Gait dataset.
KeywordPsychophysiological computing emotion perception gait spatio-temporal context
PublisherIEEE
DOI10.1109/JBHI.2022.3233597
Indexed ByIEEE ; SCIE
Language英语
WOS Research AreaComputer Science ; Mathematical & Computational Biology ; Medical Informatics
WOS SubjectComputer Science, Information Systems ; Computer Science, Interdisciplinary Applications ; Mathematical & Computational Biology ; Medical Informatics
WOS IDWOS:001221547700057
Original Document TypeArticle
PMID 37018306
Citation statistics
Document Type期刊论文
Identifierhttps://ir.lzu.edu.cn/handle/262010/588980
Collection兰州大学
信息科学与工程学院
Affiliation
1.Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, Lanzhou, China
2.Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, Lanzhou, China
3.Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, Lanzhou, China
4.Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, Lanzhou, China
5.Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, Lanzhou, China
6.Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, Lanzhou, China
Recommended Citation
GB/T 7714
H. Lu,S. Xu,S. Zhao,et al. EPIC: Emotion Perception by Spatio-Temporal Interaction Context of Gait[J]. IEEE Journal of Biomedical and Health Informatics,2023,28(5):2592-2601.
APA H. Lu,S. Xu,S. Zhao,X. Hu,R. Ma,&B. Hu.(2023).EPIC: Emotion Perception by Spatio-Temporal Interaction Context of Gait.IEEE Journal of Biomedical and Health Informatics,28(5),2592-2601.
MLA H. Lu,et al."EPIC: Emotion Perception by Spatio-Temporal Interaction Context of Gait".IEEE Journal of Biomedical and Health Informatics 28.5(2023):2592-2601.
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