Interactive web based event management

Aging population is an issue around the world currently and it is estimated that the proportion of elderly will increase rapidly in next few decades. Similarly, it was found that the number of people with Parkinson’s Disease (PD) will also increase, and may double in amount in 2030 as compared to 20...

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Main Author: Leong, Yong Fei
Other Authors: Miao Chun Yan
Format: Final Year Project
Language:English
Published: 2016
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Online Access:http://hdl.handle.net/10356/66964
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-669642023-03-03T20:45:54Z Interactive web based event management Leong, Yong Fei Miao Chun Yan School of Computer Engineering NTU-UBC Research Centre of Excellence in Active Living for the Elderly (LILY) DRNTU::Engineering::Computer science and engineering Aging population is an issue around the world currently and it is estimated that the proportion of elderly will increase rapidly in next few decades. Similarly, it was found that the number of people with Parkinson’s Disease (PD) will also increase, and may double in amount in 2030 as compared to 2005. This is a concern for the society, as portrayed by an increase in funding for research in both aging and PD. This project aims to develop a Web-based PD monitoring system for physiologists, doctors or nurses to monitor the PD patients’ progress on rehabilitation, or any further degradation of parkinsonism through detection of the motor symptoms in wellness games. PD is a progressive disorder that affects the motor system. Motor symptoms such as rest tremors are indicators of PD and can be detected through analyzing the coordinates data of the movements. A past experiment had used Kinect for detecting tremors. However, there is a limitation in the experiment where noise and background jittering had been detected as tremors or small movements. This project will address the limitation by recommending a model which filters away the noises and background jittering. Hence, this project proposes a Rest Tremor Detection Model, which takes into account the characteristics of rest tremors, and utilizes some mathematical methods such as autocorrelation to determine the occurrences of tremor and eliminate jittering. A Web Platform is designed and implemented to display patient’s profile, replay actions in gameplay, as well as incorporating the model to show the occurrences of rest tremors in gameplay. Through a focus group study conducted, the action replay feature was found to be useful as a tool for comparison to gauge the progression of PD in patients. Quantitative assessment can be done to examine the effectiveness of the system, and additional model for detecting other motor symptoms can be created and integrated to improve the proposed system’s capability. Bachelor of Engineering (Computer Science) 2016-05-06T08:16:06Z 2016-05-06T08:16:06Z 2016 Final Year Project (FYP) http://hdl.handle.net/10356/66964 en Nanyang Technological University 52 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering
spellingShingle DRNTU::Engineering::Computer science and engineering
Leong, Yong Fei
Interactive web based event management
description Aging population is an issue around the world currently and it is estimated that the proportion of elderly will increase rapidly in next few decades. Similarly, it was found that the number of people with Parkinson’s Disease (PD) will also increase, and may double in amount in 2030 as compared to 2005. This is a concern for the society, as portrayed by an increase in funding for research in both aging and PD. This project aims to develop a Web-based PD monitoring system for physiologists, doctors or nurses to monitor the PD patients’ progress on rehabilitation, or any further degradation of parkinsonism through detection of the motor symptoms in wellness games. PD is a progressive disorder that affects the motor system. Motor symptoms such as rest tremors are indicators of PD and can be detected through analyzing the coordinates data of the movements. A past experiment had used Kinect for detecting tremors. However, there is a limitation in the experiment where noise and background jittering had been detected as tremors or small movements. This project will address the limitation by recommending a model which filters away the noises and background jittering. Hence, this project proposes a Rest Tremor Detection Model, which takes into account the characteristics of rest tremors, and utilizes some mathematical methods such as autocorrelation to determine the occurrences of tremor and eliminate jittering. A Web Platform is designed and implemented to display patient’s profile, replay actions in gameplay, as well as incorporating the model to show the occurrences of rest tremors in gameplay. Through a focus group study conducted, the action replay feature was found to be useful as a tool for comparison to gauge the progression of PD in patients. Quantitative assessment can be done to examine the effectiveness of the system, and additional model for detecting other motor symptoms can be created and integrated to improve the proposed system’s capability.
author2 Miao Chun Yan
author_facet Miao Chun Yan
Leong, Yong Fei
format Final Year Project
author Leong, Yong Fei
author_sort Leong, Yong Fei
title Interactive web based event management
title_short Interactive web based event management
title_full Interactive web based event management
title_fullStr Interactive web based event management
title_full_unstemmed Interactive web based event management
title_sort interactive web based event management
publishDate 2016
url http://hdl.handle.net/10356/66964
_version_ 1759856888050089984