| LDR | | 01737nam u200361 4500 |
| 001 | | 000000422075 |
| 005 | | 20190215165832 |
| 008 | | 181129s2017 |||||||||||||||||c||eng d |
| 020 | |
▼a 9780438120402 |
| 035 | |
▼a (MiAaPQ)AAI10902785 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
| 082 | 0 |
▼a 004 |
| 100 | 1 |
▼a Crawford, Chris S. |
| 245 | 10 |
▼a Applying Block-Based Programming to Neurofeedback Application Development. |
| 260 | |
▼a [S.l.]:
▼b University of Florida.,
▼c 2017. |
| 260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2017. |
| 300 | |
▼a 165 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-11(E), Section: B. |
| 502 | 1 |
▼a Thesis (Ph.D.)--University of Florida, 2017. |
| 520 | |
▼a 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 |
| 520 | |
▼a 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 |
| 590 | |
▼a School code: 0070. |
| 650 | 4 |
▼a Computer science. |
| 690 | |
▼a 0984 |
| 710 | 20 |
▼a University of Florida.
▼b Human-Centered Computing. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 79-11B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0070 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2017 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T15000387
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a ***1012033 |