Hybrid feature selection technique for classification of human activity recognition
Through the advancement of wearable sensors, wireless communication, and machine learning techniques, Assistive Technologies (AT) which endorse autonomous, active, and healthy lifestyles are emerging in recent years. Among these advances, Human Activity Recognition (HAR) is one of the most innovativ...
Saved in:
主要作者: | Yusup, Norfadzlan |
---|---|
格式: | Thesis |
语言: | English |
出版: |
2021
|
主题: | |
在线阅读: | http://eprints.utm.my/id/eprint/101548/1/NorfadzlanYusupPSC2021.pdf |
标签: |
添加标签
没有标签, 成为第一个标记此记录!
|
相似书籍
-
Multistage feature selection methods for data classification
由: Mohamad, Masurah
出版: (2021) -
Comparative study of feature selection method of microarray data for gene classification
由: Ghazali, Nurulhuda
出版: (2009) -
Semantic feature reduction and hybrid feature selection for clustering of Arabic Web pages
由: Alghamdi, Hanan Musafer H.
出版: (2016) -
New human action recognition scheme with geometrical feature representation and invariant discretization for video surveillance
由: Amir Sjarif, Nilam Nur
出版: (2015) -
Grey relational analysis feature selection for cancer classification using support vector machine
由: Sy. Ahmad Ubaidillah, Sharifah Hafizah
出版: (2014)