Principles of openness and collaboration that catalyze open-source software innovation have also been successfully transferred into the world of hardware [1]. Advances in open-source hardware allow students, researchers and hobbyists to custom build devices for a wide variety of purposes. Open-source prototyping platforms like Arduino and Raspberry Pi empower people to build cheap, modular, and easy to use alternatives to expensive commercial grade scientific equipment. The authors argue that the use of open-source hardware in building neuroIS research tools will dramatically decrease the costs and complexity associated with research in university laboratories. In this work, we discuss the use of open-source hardware in neuroIS research. We present the design of a neuroIS research tool based on BITalino, a biosignal capturing and processing platform. We also present a novel prototype that is specifically tuned toward neuroIS research using the API provided by the creators of BITalino.
CITATION STYLE
Ibrahim, H., Ewais, S., & Chatterjee, S. (2015). A novel, low-cost NeuroIS prototype for supporting bio signals experimentation based on BITalino. In Lecture Notes in Information Systems and Organisation (Vol. 10, pp. 77–83). Springer Heidelberg. https://doi.org/10.1007/978-3-319-18702-0_10
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