Recognizing user activity based on accelerometer data from a mobile phone

Ayu, Media Anugerah and Mantoro, Teddy and Abdul Matin, Ahmad Faridi and Omar Basamh, Saeed Saleem (2011) Recognizing user activity based on accelerometer data from a mobile phone. In: 2011 IEEE Symposium On Computers & Informatics (ISCI), 20-23 March 2011, Kuala Lumpur.

PDF (Recognizing user activity based on accelerometer data from a mobile phone) - Published Version Restricted to Registered users only Download (509kB) | Request a copy

Abstract

Activity recognition refers to the ability of a machine/device to recognize the activity of users. This area of research has attracted many works especially related to the context aware and ubiquitous computing area. Wearable accelerometers have been explored for this activity recognition purpose; however the impracticality of attaching accelerometers to the user presents significant issues. Accelerometers today are embedded in many mobile devices. This paper explores the potential and possibility of using these accelerometer data to determine user activity recognition. The initial experiments show encouraging results with a very good accuracy rate of 92%. A simple prototype developed supports the implementation of the recognition process conducted.

Item Type:	Conference or Workshop Item (Full Paper)
Additional Information:	5995/1322
Uncontrolled Keywords:	Accelerometers , Activity recognition , Context awareness , Mobile devices , Ubiquitous Computing
Subjects:	L Education > LB Theory and practice of education > LB1025 Teaching (principles and practices) T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology > Department of Information System Kulliyyah of Information and Communication Technology > Department of Information System
Depositing User:	Media Ayu
Date Deposited:	15 Aug 2011 12:48
Last Modified:	15 Aug 2011 14:47
URI:	http://irep.iium.edu.my/id/eprint/1322

Actions (login required)

View Item