Expert-novice classification of mobile game player using smartphone inertial sensors

作者：

Highlights：

• The study proposes a novel method of using inertial sensors for game play analysis.

• Data from accelerometer and gyroscope is used for expert-novice classification.

• Early and late fusion of features is evaluated along with wrapper feature selection.

• State-of-the-art classification accuracy is achieved using smartphone inertial data.

摘要

•The study proposes a novel method of using inertial sensors for game play analysis.•Data from accelerometer and gyroscope is used for expert-novice classification.•Early and late fusion of features is evaluated along with wrapper feature selection.•State-of-the-art classification accuracy is achieved using smartphone inertial data.

论文关键词：Classification,Feature extraction,Game player expertise,Inertial sensors,Sensor fusion,Smartphone

论文评审过程：Received 3 May 2020, Revised 12 January 2021, Accepted 6 February 2021, Available online 23 February 2021, Version of Record 8 March 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.114700