Real-time BCI system design to control arduino based speed controllable robot using EEG [electronic resource] / by Swagata Das, Devashree Tripathy, Jagdish Lal Raheja.
- 作者： Das, Swagata.
- 其他作者：
- 其他題名：
- SpringerBriefs in computational intelligence.
- 出版： Singapore : Springer Singapore :Imprint: Springer 2019.
- 叢書名： SpringerBriefs in computational intelligence,
- 主題： Brain-computer interfaces. , Arduino (Programmable controller) , Computational Intelligence. , Control, Robotics, Mechatronics. , Artificial Intelligence.
- ISBN： 9789811330988 (electronic bk.) 、 9789811330971 (paper)
- URL：
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電子書(校內)
- 一般註：Preface -- Introduction -- An insight to the human brain and EEG -- A review on algorithms for EEG-based BCIs30 -- Implications -- Results and Conclusions. E1084學校採購電子書
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讀者標籤：
- 系統號： 000274340 | 機讀編目格式
館藏資訊
This book discusses the basic requirements and constraints in building a brain–computer interaction system. These include the technical requirements for building the signal processing module and the acquisition module. The major aspects to be considered when designing a signal acquisition module for a brain–computer interaction system are the human brain, types and applications of brain–computer systems, and the basics of EEG (electroencephalogram) recording. The book also compares the algorithms that have been and that can be used to design the signal processing module of brain–computer interfaces, and describes the various EEG-acquisition devices available and compares their features and inadequacies. Further, it examines in detail the use of Emotiv EPOC (an EEG acquisition module developed by Emotiv) to build a complete brain–computer interaction system for driving robots using a neural network classification module.
摘要註
This book discusses the basic requirements and constraints in building a brain-computer interaction system. These include the technical requirements for building the signal processing module and the acquisition module. The major aspects to be considered when designing a signal acquisition module for a brain-computer interaction system are the human brain, types and applications of brain-computer systems, and the basics of EEG (electroencephalogram) recording. The book also compares the algorithms that have been and that can be used to design the signal processing module of brain-computer interfaces, and describes the various EEG-acquisition devices available and compares their features and inadequacies. Further, it examines in detail the use of Emotiv EPOC (an EEG acquisition module developed by Emotiv) to build a complete brain-computer interaction system for driving robots using a neural network classification module.