Cited By
View all- Yau YLee LLi ZBraud THo YHui P(2020)How Subtle Can It Get?Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/33973194:2(1-29)Online publication date: 15-Jun-2020
Performance analysis of brain-computer interfaces in aerial drone
Authors: 
Sarah North, Adnan Rashied, Jason Walters, Ahmad Alissa, Josh Cooper, Eric Rawls, Cheyenne Sancho, Utku "Victor" Sahin, Kate Randell, Heather RegoAuthors Info & Claims
Sarah North, Adnan Rashied, Jason Walters, Ahmad Alissa, Josh Cooper, Eric Rawls, Cheyenne Sancho, Utku "Victor" Sahin, Kate Randell, Heather RegoAuthors Info & ClaimsArticle No.: 16, Pages 1 - 5
Abstract
The main objective of this study is to find efficient methods to utilize brain-computer interfaces (BCIs) in conjunction with aerial drones. The study investigates how effective the EPOC+ is by challenging users of diverse genders and ages to complete tasks using mental commands and facial expressions to control a Parrot AR-Drone 2.0. After a calibration phase, the designed experiments were conducted using randomly selected participants (n=20). Preliminary analysis of the collected data indicated that there was no significant difference between the rating of difficulty before and after, between the mental and facial commands. Furthermore, this study showed that from group of participants more individuals had greater difficulty controlling the mental and facial commands than they originally expected.
References
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Alissa, A., Cooper, J., & Rashied, A. (2017, November 6). Epoc Emotiv Manual. Retrieved on November 28, 2017 from http://whateven.com/ardrone/tutorials/index.php?page=1
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Anderson, K., & McOwan, W.P., A real-time automated system for the recognition of human facial expressions. IEEE Trans. System, Man, and Cybernetics, Part B: Cybernetics 36(1), 96--105 (2006)
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AR.Drone 2.0, Tutorial video #1: Setup {Video file}. Retrieved on July 27, 2017 from https://www.parrot.com/us/drones/parrot-ardrone-20-power-edition#ar-drone-20-power-edition.
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EMOTIV. MindDrone {Software}. Retrieved on August 5, 2017 from https://www.emotiv.com/product/mind drone/.
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EMOTIV. Xavier: EMOTIV Control Panel {Software}. Retrieved on September 29, 2017 from https://www.emotiv.com/product/xavier-control-panel/.
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Nakisa, B., Rastgoo, M. N., Tjondronegoro, D., & Chandran, V. (2018). Review: Evolutionary computation algorithms for feature selection of EEG-based emotion recognition using mobile sensors. Expert Systems with Applications, 93143-155.
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Parrot S. (2016). AR.FreeFlight (Version 2.4.15) {Software}, Retrieved on September 11, 2017 from https://play.goole.com/store/apps/details?id=com.parrot.freeflight.
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Parrot S.A.(2016). Parrot AR.Drone 2.0 User Guide. Retrieved on August 3, 2017 from https://static.bhphotovideo.com/lit_files/121124.pdf.
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Information
Published In
March 2018
246 pages
ISBN:9781450356961
DOI:10.1145/3190645
- Conference Chair:
- Ka-Wing Wong,
- Program Chair:
- Chi Shen,
- Publications Chair:
- Dana Brown
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Published: 29 March 2018
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- Computer Science department for advancement of technology and research on undergraduate senior project activities
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ACM SE '18
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Overall Acceptance Rate 502 of 1,023 submissions, 49%
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Cited By
View all- Yau YLee LLi ZBraud THo YHui P(2020)How Subtle Can It Get?Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/33973194:2(1-29)Online publication date: 15-Jun-2020
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