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Building Indoor Dangerous Behavior Recognition Based on LSTM-GCN with Attention Mechanism 被引量:1
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作者 Qingyue Zhao Qiaoyu Gu +2 位作者 Zhijun Gao Shipian Shao Xinyuan Zhang 《Computer Modeling in Engineering & Sciences》 SCIE EI 2023年第11期1773-1788,共16页
Building indoor dangerous behavior recognition is a specific application in the field of abnormal human recognition.A human dangerous behavior recognition method based on LSTM-GCN with attention mechanism(GLA)model wa... Building indoor dangerous behavior recognition is a specific application in the field of abnormal human recognition.A human dangerous behavior recognition method based on LSTM-GCN with attention mechanism(GLA)model was proposed aiming at the problem that the existing human skeleton-based action recognition methods cannot fully extract the temporal and spatial features.The network connects GCN and LSTMnetwork in series,and inputs the skeleton sequence extracted by GCN that contains spatial information into the LSTM layer for time sequence feature extraction,which fully excavates the temporal and spatial features of the skeleton sequence.Finally,an attention layer is designed to enhance the features of key bone points,and Softmax is used to classify and identify dangerous behaviors.The dangerous behavior datasets are derived from NTU-RGB+D and Kinetics data sets.Experimental results show that the proposed method can effectively identify some dangerous behaviors in the building,and its accuracy is higher than those of other similar methods. 展开更多
关键词 Human skeleton building indoor dangerous behaviors recognition graph convolution network long short term memory network attention mechanism
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Clinical Study on the Combination of Dingjing Pills and Risperidone in the Treatment of Patients with Schizophrenia Accompanied by Risky Behaviors
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作者 Taotao XU Bin SHI 《Medicinal Plant》 CAS 2023年第5期89-91,共3页
[Objectives]To observe the clinical efficacy of Dingjing Pills on patients with schizophrenia accompanied by risky behaviors.[Methods]Two hundred patients diagnosed with schizophrenia and risky behaviors were divided ... [Objectives]To observe the clinical efficacy of Dingjing Pills on patients with schizophrenia accompanied by risky behaviors.[Methods]Two hundred patients diagnosed with schizophrenia and risky behaviors were divided into two groups based on the random and double-blinded principle:the treatment group(100 cases)treated with Dingjing Pills combined with risperidone,and the control group(100 cases)treated with risperidone alone.The observation course was 6 weeks.The clinical efficacy was compared using brief psychiatric rating scale(BPRS),modified overt aggression scale(revised edition)(MAOS),treatment emergent symptom scale(TESS),and blood routine,liver function,kidney function,and electrocardiogram examinations were conducted.[Results]After treatment,Dingjing Pills significantly reduced the scores of brief psychiatric rating scale,modified overt aggression scale and treatment emergent symptom scale in patients with schizophrenia and dangerous behaviors,and had no significant toxic or side effects.The total effective rate in the treatment group was 88.8%,while the total effective rate in the control group was 77.1%.There was a significant difference in therapeutic efficacy between the two groups(P<0.05).[Conclusions]Dingjing Pills has an intervention and therapeutic effect on high-risk behaviors of schizophrenia,with minimal side effects and easy acceptance by patients. 展开更多
关键词 Dingjing Pill SCHIZOPHRENIA dangerous behavior Clinical efficacy
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