Ulster University Logo

A Lightweight Hierarchical Activity Recognition Framework Using Smartphone Sensors

Han, Manhyung, Bang, Jae, Nugent, CD, McClean, Sally and Lee, Sungyoung (2014) A Lightweight Hierarchical Activity Recognition Framework Using Smartphone Sensors. Sensors, 14 (9). p. 16181. [Journal article]

Full text not available from this repository.

URL: http://dx.doi.org/10.3390/s140916181

DOI: doi:10.3390/s140916181

Abstract

Activity recognition for the purposes of recognizing a user’s intentions using multimodal sensors is becoming a widely researched topic largely based on the prevalence of the smartphone. Previous studies have reported the difficulty in recognizing life-logs by only using a smartphone due to the challenges with activity modeling and real-time recognition. In addition, recognizing life-logs is difficult due to the absence of an established framework which enables the use of different sources of sensor data. In this paper, we propose a smartphone-based Hierarchical Activity Recognition Framework which extends the Naïve Bayes approach for the processing of activity modeling and real-time activity recognition. The proposed algorithm demonstrates higher accuracy than the Naïve Bayes approach and also enables the recognition of a user’s activities within a mobile environment. The proposed algorithm has the ability to classify fifteen activities with an average classification accuracy of 92.96%.

Item Type:Journal article
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Information Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Research Institutes and Groups:Computer Science Research Institute > Smart Environments
Computer Science Research Institute
Computer Science Research Institute > Information and Communication Engineering
ID Code:30837
Deposited By: Professor Christopher Nugent
Deposited On:20 Jan 2015 14:44
Last Modified:20 Jan 2015 14:44

Repository Staff Only: item control page