The Emotiv Insight is a commercially available, low-cost, mobile EEG device that is commonly overshadowed by its costlier counterpart, the Emotiv EPOC. The purpose of this report is to investigate if the Emotiv Insight is a suitable headset to be used as a controlling factor in conjunction with an Arduino microcontroller and various electrical components that are used towards the development of an open-sourced, affordable electric wheelchair with the primary goal of providing those who either do not have the financial resources or the physical capability to operate a traditional wheelchair due to their disability a viable option to improve their quality of life. All of the C++ code, STL files used to fabricate the 3d-printed components are uploaded to a GitHub repository as open sourced files to allow individuals with access to a 3d-printer to either build the open sourced wheelchair for their personal use, or refine the design to suit their needs.
| Identifer | oai:union.ndltd.org:unt.edu/info:ark/67531/metadc1707240 |
| Date | 08 1900 |
| Creators | Ta, Christopher Ian |
| Contributors | Vaidyanathan, Vijay, Ecker, Melanie, Keshav, Venkat |
| Publisher | University of North Texas |
| Source Sets | University of North Texas |
| Language | English |
| Detected Language | English |
| Type | Thesis or Dissertation |
| Format | ix, 99 pages, Text |
| Rights | Public, Ta, Christopher Ian, Copyright, Copyright is held by the author, unless otherwise noted. All rights Reserved. |
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