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Applying Block-Based Programming to Neurofeedback Application Development
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Applying Block-Based Programming to Neurofeedback Application Development. |
| 개인저자 | Crawford, Chris S. |
| 단체저자명 | University of Florida. Human-Centered Computing. |
| 발행사항 | [S.l.]: University of Florida., 2017. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2017. |
| 형태사항 | 165 p. |
| 기본자료 저록 | Dissertation Abstracts International 79-11B(E). Dissertation Abstract International |
| ISBN | 9780438120402 |
| 학위논문주기 | Thesis (Ph.D.)--University of Florida, 2017. |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-11(E), Section: B.
|
| 요약 | Non-medical Brain-Computer Interfaces (BCIs) are gaining popularity as neurophysiological devices, capable of measuring users state, become more affordable and effective. BCI technology has been integrated into applications for various purposes |
| 요약 | This research explores the concept of using block-based programming (BBP) to aid novice programmers with creating BCI feedback applications. This work presents a BBP environment with electroencephalogram (EEG) sensing features that was designed |
| 일반주제명 | Computer science. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
