The effect of stimulus type and distance on neural control of a smart TV
A number of recent studies have successfully demonstrated smart appliances control using brain-computer interface (BCI) as a proof-of-concept. Yet, a fluid and intuitive interface for the actual implementation is still nowhere to be found. As a first step in bringing a BCI system for smart TV contro...
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Published in | 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER) pp. 1343 - 1345 |
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Main Authors | , , , , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.11.2013
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Subjects | |
Online Access | Get full text |
ISSN | 1948-3546 |
DOI | 10.1109/NER.2013.6696190 |
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Abstract | A number of recent studies have successfully demonstrated smart appliances control using brain-computer interface (BCI) as a proof-of-concept. Yet, a fluid and intuitive interface for the actual implementation is still nowhere to be found. As a first step in bringing a BCI system for smart TV control to a reality, this study focuses on isolating factors that should be considered in design. In the experiment, the participants selected a smart TV channel with different distances to the TV set using a noninvasive BCI that detected the P300 waveform from EEG. The channel menus were presented as either a still image or a video. Various viewing distances as well as effects of video in the stimuli are tested. While video menu presentation caused a decrease in performance as expected, there were unexpected influences from viewing distance as the closest distance did not yield the highest accuracy. Our results suggest a putative optimal distance for P300-based BCI control of smart TV, which was also consistent with that from previous ergonomics studies and several more BCI design components to be experimented on. |
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AbstractList | A number of recent studies have successfully demonstrated smart appliances control using brain-computer interface (BCI) as a proof-of-concept. Yet, a fluid and intuitive interface for the actual implementation is still nowhere to be found. As a first step in bringing a BCI system for smart TV control to a reality, this study focuses on isolating factors that should be considered in design. In the experiment, the participants selected a smart TV channel with different distances to the TV set using a noninvasive BCI that detected the P300 waveform from EEG. The channel menus were presented as either a still image or a video. Various viewing distances as well as effects of video in the stimuli are tested. While video menu presentation caused a decrease in performance as expected, there were unexpected influences from viewing distance as the closest distance did not yield the highest accuracy. Our results suggest a putative optimal distance for P300-based BCI control of smart TV, which was also consistent with that from previous ergonomics studies and several more BCI design components to be experimented on. |
Author | Eunmi Oh Sung-Phil Kim Miyoung Kim Kim, Jinsoo J. Minsu Hwangbo Min-Ki Kim Taeho Hwang |
Author_xml | – sequence: 1 givenname: Jinsoo J. surname: Kim fullname: Kim, Jinsoo J. email: homoxmachina@korea.ac.kr organization: Dept. of Brain & Cognitive Eng., Korea Univ., Seoul, South Korea – sequence: 2 surname: Taeho Hwang fullname: Taeho Hwang email: taeho.hwang@samsung.com organization: DMC R&D Center, Samsung Electron., Suwon, South Korea – sequence: 3 surname: Miyoung Kim fullname: Miyoung Kim email: mykim2002@samsung.com organization: DMC R&D Center, Samsung Electron., Suwon, South Korea – sequence: 4 surname: Eunmi Oh fullname: Eunmi Oh email: sait@samsung.com organization: DMC R&D Center, Samsung Electron., Suwon, South Korea – sequence: 5 surname: Minsu Hwangbo fullname: Minsu Hwangbo email: m.hwangbo@samsung.com organization: DMC R&D Center, Samsung Electron., Suwon, South Korea – sequence: 6 surname: Min-Ki Kim fullname: Min-Ki Kim email: mkworks@korea.ac.kr organization: Dept. of Brain & Cognitive Eng., Korea Univ., Seoul, South Korea – sequence: 7 surname: Sung-Phil Kim fullname: Sung-Phil Kim email: spkim@korea.ac.kr organization: Res. & Bus. Found., Korea Univ., Seoul, South Korea |
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Snippet | A number of recent studies have successfully demonstrated smart appliances control using brain-computer interface (BCI) as a proof-of-concept. Yet, a fluid and... |
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SubjectTerms | Accuracy Brain-computer interfaces Educational institutions Electroencephalography Ergonomics Smart homes |
Title | The effect of stimulus type and distance on neural control of a smart TV |
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