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Conference Paper

Permanent URI for this collectionhttps://hdl.handle.net/10361/7409

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    Automatic will enabled system of multi-modal operation
    (© 2013 IEEE, 2013) Karim, Md. Risul; Waliullah, Syed Shaiyan Kamran; Kamal, Badruddin; Rhaman, Md. Khalilur; Khan, Mumit; Jamil, Insan Arafat; Department of Computer Science and Engineering
    AWESOMMO(Automatic Will Enabled System of Multi-Modal Operation)uses Sony PS3 Eye image sensor for high speed image processing and a microphone for voice recognition commands. Armed with 3 degrees of freedom of operation, provides the ability to move freely and interact with the physical objects around it. This robot uses a M.M.O (massively multiplayer online) server named 'Spider Monkey', which enables the robot to be operated remotely. For the first time, a game engine has been customized with serial communication protocol addition to control microcontroller unit of a robot as the game engine handles multithreaded operation in the best possible way. This paper discusses the physical, mechanical and computational methods used in design and construction of the robot along with its multi-modal control feature. This paper also demonstrates the abilities and benefits of using M.M.O and PS3 Eye in such a way that it becomes platform for developing software for robotics and embedded system development.
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    Cognitive efficiency in robot control by Emotiv EPOC
    (© 2014 IEEE Computer Society, 2014-05) Chowdhury, Pritom; Shakim, S. S. Kibria; Karim, Md. Risul; Rhaman, Md. Khalilur; Department of Computer Science and Engineering
    Brain Computer Interface (BCI) has opened a new era in the field of neuroscience. It has the potentiality to improve the quality of life of severely disabled patients. It allows them to regain the power of moving things by their affective, cognitive and expressive brain activities. Emotiv EPOC head set is a safe and comfortable BCI system which contains a number of advanced electrode sensors. It can detect and process the user's thoughts, feelings and expressions in real time. A prototype of two wheeler robot is implemented and experimented which was controlled by the thought of human being. In average 72.65% accuracy is observed in the experiment for different aged people from 14 to 30 years old where the accuracy for the physically challenged people is 82% in average. Firstly the prototype software has to be trained by a specific user then it controls a wireless robot by the person's thought for driving the robot in forward, backward, left and right directions. This robot can be stopped by a specific facial expression which does not need any training. The article also investigated the shortcomings and reviews on the reliability of the cognitive output efficiency of Emotiv EPOC EEG device, based on user comments and related researches.