Hardware modeling of EMG signal classifier by using discrette wavelet transform and neural network for human computer interaction /
Electromyography (EMG) signal based research is ongoing for the development of simple, robust, user friendly, efficient interfacing devices/systems. An EMG signal based reliable and efficient hand gesture identification system has been developed for human computer interaction, which in turn will inc...
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| 格式: | Thesis |
| 语言: | English |
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Kuala Lumpur :
Kulliyyah of Engineering, International Islamic University Malaysia,
2012
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| 在线阅读: | Click here to view 1st 24 pages of the thesis. Members can view fulltext at the specified PCs in the library. |
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