Validation Research on the Application of Depthwise Separable Convolutional Al Facial Expression Recognition in Non-pharmacological Treatment of BPSD  

作　　者：Xiangyu Liu 

机构地区：[1]Doctoral Course,Graduate School of Human Sciences,Waseda University,Japan

出　　处：《Journal of Clinical and Nursing Research》2021年第4期31-37,共7页临床护理研究（英文）

摘　　要：One of the most obvious clinical reasons of dementia or The Behavioral and Psychological Symptoms of Dementia(BPSD)are the lack of emotional expression,the increased frequency of negative emotions,and the impermanence of emotions.Observing the reduction of BPSD in dementia through emotions can be considered effective and widely used in the field of non-pharmacological therapy.At present,this article will verify whether the image recognition artificial intelligence(AI)system can correctly reflect the emotional performance of the elderly with dementia through a questionnaire survey of three professional elderly nursing staff.The ANOVA(sig.=0.50)is used to determine that the judgment given by the nursing staff has no obvious deviation,and then Kendall's test(0.722**)and spearman's test(0.863**)are used to verify the judgment severity of the emotion recognition system and the nursing staff unanimously.This implies the usability of the tool.Additionally,it can be expected to be further applied in the research related to BPSD elderly emotion detection.

关 键 词：Depth-wise separable convolution EMOTION BPSD DEMENTIA Nursing 

分 类 号：R74[医药卫生—神经病学与精神病学]