Extracting features of finger bending signal based on parameter of polynomial
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2014
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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 |
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Malaysia |
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Universiti Malaysia Perlis |
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| language |
English |
| topic |
DataGlove Human-Computer Interaction (HCI) Polynomial Regression |
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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 |