Welcome To UTPedia

We would like to introduce you, the new knowledge repository product called UTPedia. The UTP Electronic and Digital Intellectual Asset. It stores digitized version of thesis, dissertation, final year project reports and past year examination questions.

Browse content of UTPedia using Year, Subject, Department and Author and Search for required document using Searching facilities included in UTPedia. UTPedia with full text are accessible for all registered users, whereas only the physical information and metadata can be retrieved by public users. UTPedia collaborating and connecting peoples with university’s intellectual works from anywhere.

Disclaimer - Universiti Teknologi PETRONAS shall not be liable for any loss or damage caused by the usage of any information obtained from this web site.Best viewed using Mozilla Firefox 3 or IE 7 with resolution 1024 x 768.

Development of an Activity Recognition System Using Accelerometers

Hui, Dandy Lau Jing (2014) Development of an Activity Recognition System Using Accelerometers. Universiti Teknologi PETRONAS. (Unpublished)

[img]
Preview
PDF
Download (3375Kb) | Preview

Abstract

Body Sensor Network (BSN) is a great area of interest in nowadays research due to the increase in demand of quality in healthcare. There are many applications and systems developed which are used to aid in monitoring health status of the people. With the increasing number of elderly people that live alone at most of the time or all the time, activity recognition system based on BSN can help in monitoring their activities at home. These systems could be further developed to integrate with telecommunication system so that it can alert the related parties should there be any emergency or potential threat of the home alone elders which would cost life, for instance falling down. This project is focused on developing an activity recognition system which is economic and lightweight for the use of elderly people such that it can accurately recognize some basic activities which are performed by the wearer. Different activity recognition systems are reviewed. Important factors especially the cost and size of the designed system are the priority for choosing the hardware. The prototype is built after deliberate studies and outlining the specifications according to requirement. An analytical software was developed using MATLAB to further illustrate the functions of the system. With accelerometers that capture the acceleration rate of different activities and Decision Tree algorithm for classification, the system is able to predict accurately the activity performed by the wearer. With two accelerometers (at thigh and ankle each), the system achieved overall accuracy of 94.7% in terms of recognition, an improvement of 27.3% as compared to system with one accelerometer.

Item Type: Final Year Project
Academic Subject : Academic Department - Electrical And Electronics - Pervasisve Systems - Digital Electronics - Design
Subject: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Engineering > Electrical and Electronic
Depositing User: Users 2053 not found.
Date Deposited: 10 Oct 2014 12:09
Last Modified: 25 Jan 2017 09:37
URI: http://utpedia.utp.edu.my/id/eprint/14250

Actions (login required)

View Item View Item

Document Downloads

More statistics for this item...