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Extracting features of finger bending signal based on parameter of polynomial

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Main Authors: M. Hazwan, Ali, Wan Khairunizam, Wan Ahmad, Dr., Nazrul H., Adnan, Zuradzman, Mohamad Razlan, Dr., Hazry, Desa, Assoc. Prof. Dr.
Other Authors: Hazwan_hafiz89@yahoo.com
Format: Article
Language:English
Published: IJENS Publishers 2014
Subjects:
DataGlove
Human-Computer Interaction (HCI)
Polynomial Regression
Online Access:http://dspace.unimap.edu.my:80/dspace/handle/123456789/34939
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spelling my.unimap-349392017-11-29T05:03:15Z Extracting features of finger bending signal based on parameter of polynomial M. Hazwan, Ali Wan Khairunizam, Wan Ahmad, Dr. Nazrul H., Adnan Zuradzman, Mohamad Razlan, Dr. Hazry, Desa, Assoc. Prof. Dr. Hazwan_hafiz89@yahoo.com khairunizam@unimap.edu.my nazrulhamizi.adnan@gmail.com zuradzman@unimap.edu.my hazry@unimap.edu.my DataGlove Human-Computer Interaction (HCI) Polynomial Regression Link to publisher's homepage at http://www.ijens.org/ Glove based device has outstandingly archive successfully in nowadays especially in industries, virtual reality, and medical. DataGlove is an interactive device, resembling a glove worn on the hand used to capture physical data such as bending of fingers. GloveMAP are recent dataglove prototype aimed at obtaining signal information of finger movements.By manipulating data outputted from the dataglove, numerous applications for the purpose of HCI could be designed. Input data from dataglove usually continues with time domain which resulting the algorithm is too large to be processed. Thus, dataglove input data need to be transformed into a representation set of features. Transforming the input data into the set of features is called feature extraction. In this research, feature extraction technique is proposed to represent bending signal outputted from the dataglove. Polynomial regression is utilized as the feature extractor. The experimental results show that the parameter from the polynomial could be used as features for the bending signal of the dataglove. 2014-06-02T02:28:53Z 2014-06-02T02:28:53Z 2014-02 Article International Journal of Mechanical & Mechatronics Engineering IJMME-IJENS, vol. 14(1), 2014, pages 70-75 2077-124X (Online) 2227-2771 (Print) http://www.ijens.org/IJMME%20Vol%2014%20Issue%2001.html http://dspace.unimap.edu.my:80/dspace/handle/123456789/34939 en IJENS Publishers
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic DataGlove
Human-Computer Interaction (HCI)
Polynomial Regression
spellingShingle DataGlove
Human-Computer Interaction (HCI)
Polynomial Regression
M. Hazwan, Ali
Wan Khairunizam, Wan Ahmad, Dr.
Nazrul H., Adnan
Zuradzman, Mohamad Razlan, Dr.
Hazry, Desa, Assoc. Prof. Dr.
Extracting features of finger bending signal based on parameter of polynomial
description Link to publisher's homepage at http://www.ijens.org/
author2 Hazwan_hafiz89@yahoo.com
author_facet Hazwan_hafiz89@yahoo.com
M. Hazwan, Ali
Wan Khairunizam, Wan Ahmad, Dr.
Nazrul H., Adnan
Zuradzman, Mohamad Razlan, Dr.
Hazry, Desa, Assoc. Prof. Dr.
format Article
author M. Hazwan, Ali
Wan Khairunizam, Wan Ahmad, Dr.
Nazrul H., Adnan
Zuradzman, Mohamad Razlan, Dr.
Hazry, Desa, Assoc. Prof. Dr.
author_sort M. Hazwan, Ali
title Extracting features of finger bending signal based on parameter of polynomial
title_short Extracting features of finger bending signal based on parameter of polynomial
title_full Extracting features of finger bending signal based on parameter of polynomial
title_fullStr Extracting features of finger bending signal based on parameter of polynomial
title_full_unstemmed Extracting features of finger bending signal based on parameter of polynomial
title_sort extracting features of finger bending signal based on parameter of polynomial
publisher IJENS Publishers
publishDate 2014
url http://dspace.unimap.edu.my:80/dspace/handle/123456789/34939
_version_ 1643802756474994688
score 13.214268

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