Research and Application of Human Activity Recognition Based on Sensor
In recent years,the technology for recognizing human activity has progressed rapidly and has found widespread applications in the fields of security,healthcare,human-computer interaction,and sports.Based on the relevant literature at home and abroad,this paper reviews the knowledge graph,human activity data sets and human activity recognition methods and applications.It begins by identifying the distinguishing features of human activity recognition datasets collected using various methods.Subsequently,it examines specific techniques aimed at enhancing the accuracy and performance of human activity recognition models.Furthermore,it underscores the crucial role of knowledge graphs in unveiling the relationships between entities in human activity recognition and in providing implicit knowledge for the analysis of human activity.Finally,in light of the practical implementation of human activity recognition,it summarizes existing research challenges and anticipates future development trends.This study provides direction and technical suggestions for the technology development and practical application of human activity recognition research.
knowledge graphhuman activity data setshuman activity recognition
万方数据
维普
