Fall Detection with the Optimal Feature Vectors Based on Support Vector Machine

Jing Zhang; Yongfeng Wang; Yingnan Ma; Xing Gao; Huiqi Li; Guoru Zhao

doi:10.1007/978-3-319-06269-3_17

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Fall Detection with the Optimal Feature Vectors Based on Support Vector Machine

Jing Zhang Yongfeng Wang Yingnan Ma Xing Gao Huiqi Li Guoru Zhao

Year: 2014 Lecture notes in computer science Pages: 160-166 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-319-06269-3_17

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Keywords:

Support vector machine Computer science Accelerometer Classifier (UML) Artificial intelligence Feature extraction Accidental Feature vector Pattern recognition (psychology) Machine learning

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Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Gait Recognition and Analysis

Physical Sciences → Engineering → Biomedical Engineering

Context-Aware Activity Recognition Systems

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Fall Detection with the Optimal Feature Vectors Based on Support Vector Machine

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