A comparison study of classifier algorithms for mobile-phone’s accelerometer based activity recognition

Ayu, Media Anugerah and Ismail, Siti Aisyah and Abdul Matin, Ahmad Faridi and Mantoro, Teddy (2012) A comparison study of classifier algorithms for mobile-phone’s accelerometer based activity recognition. Procedia Engineering, 41. pp. 224-229. ISSN 1877-7058

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Abstract

Nowadays, many mobile phones have been equipped with sensors to enable the delivery of advanced eatures/services to the users. Accelerometer is one of the sensors that embedded to several types of mobile phones. Our earlier research has shown that data from mobile-phone embedded accelerometer can be used for activity recognition purpose [1]. As a continuation of the research towards the search for a suitable and reliable algorithm for real-time activity recognition using mobile phone, an evaluation and comparison study of the performance of seven different categories of classifier algorithms in classifying user activities were conducted. Five basic human activities (jogging, jumping, sitting, standing, and walking) were tested. The training and testing data were done using Weka 3.6.6 data mining tool. The overall accuracy rate for classifier training managed to exceed 96% and exceeded 90% for classifier testing, which are very encouraging results.

Item Type:	Article (Journal)
Additional Information:	5995/25609 (International Symposium on Robotics and Intelligent Sensors 2012 (IRIS 2012))
Uncontrolled Keywords:	activity recognition, accelerometer, classifier algorithms, activity-aware, accelerometer based mobile phone
Subjects:	T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101 Telecommunication. Including telegraphy, radio, radar, television
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology
Depositing User:	Media Ayu
Date Deposited:	28 Aug 2012 08:14
Last Modified:	07 Jun 2013 10:34
URI:	http://irep.iium.edu.my/id/eprint/25609

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