期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2017
卷号：6
期号：4
页码：482-489
出版社：Shri Pannalal Research Institute of Technolgy
摘要：Recently, a lot of development has been done in the area of smartphones which elevates their processing as well as sensing abilities. A smartphone can sense everything ranging from acceleration to a magnetic field acting on it. The human activity recognition using cell phone sensors has enabled the users to keep a track of their daily activities for maintaining their good health. Initially, wearable sensors have been used for these recognitions. However, most of the recent researches have used the smartphone sensors for the same. In many of the current studies, data for recognizing activity is obtained from the inbuilt sensors of a cell phone and this data is then analyzed using the machine learning tools offline. In this paper, the studies that utilize cell phone sensors for activity recognition have been reviewed, discussed their various aspects, limitations and presented recommendations for future work.
关键词：smartphones; human activity recognition; sensors; acceleration; magnetic field; wearable sensors; machine learning tools.
