"Translation of Human Thoughts into Machine Motion": First Edition is basically a modified form of my research work on pattern recognition and classification of human thoughts. Electroencephalogram (EEG) is the language of human thoughts and here we are interested to detect and understand that language in order to drive a machine. Human brainwave is just like a signature, varies from person to person and also varies under different conditions. The works regarding brainwave study and signature detection on human subject have been done by my co-author, whereas the pattern recognition and classification parts have been done by me. A few statistical and Neural Network algorithms have been taken into account in order to classify EEG patterns recorded in different situations but from a single human subject, and the classification accuracy has reached a satisfactory level . Broadly, the aim is supposed to make successful Brain- Machine Interface and, therefore, EEG data from multiple subjects is needed for that task along with some modified classification algorithms. I believe I will be able to present you this approach too in the later editions of the book.

About the Author

Angikar Sarkar is Research Assistant, Signal Processing Laboratory, Drayer Dept. of Elecrical Engineering, Lamar University, USA and recently working under Dr.Gleb V Tcheslavski. EEG and Brainwave Analysis, Pattern Recognition, Digital Signal/Image Processing, Control System, Vibration Monitoring and Robotic Interfacing are his fields of interest.

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