Aerial Visual Information Acquisition System Based on EEG Control
Pages 228 - 233
Abstract
Designing an aerial visual information acquisition system based on EEG control to verify the feasibility and application of brain-computer interface technology in controlling aircraft visual information acquisition via brain-computer interface, aircraft control and wireless image transmission technology. The system uses the EEG signal acquired by the external dry electrode of the TGAM EEG signal acquisition chip as the control signal of the aircraft to complete the specified flight action, using Android APP to control and realize image real-time transmission, information display, storage and management. The result of the experiment demonstrated that it is feasible and promising to apply brain-computer interface technology to the control of aircraft visual information collection area.
References
[1]
XV Zhengguo, CHEN Qiuhui, ZHANG Guanwen. A New Generation of Human-Computer Interaction: The Status, Types and Educational Application of Natural User Interface: Also on the Preliminary Outlook of Brain-Computer Interface Technology[J]. Journal of Distance Education, 2018,36(04):39--48.
[2]
ZHENG Ruqin. Analysis of Human-Computer Interaction in Internet of Things Intelligent Home[J]. Scientific and Technological Innovation, 2019(16):79--80.
[3]
GU Jiaxin, HAO Yuzhe, SU Tingting, HUANGFU Ping-ping, DUAN Qichao. The UAV tracking and filming system based on facial feature analysis[J]. Intelligent computer and applications, 2019, 9(04):326+331.
[4]
Dong Qianyan, Wang Li, Jiang Bencong, Hu Xiao. Feature extraction of the middle latency response in auditory based on AAR model[J]. Application of Electronic technique, 2017, 43(11):78--81.
[5]
PEI Yifei, YANG Shujuan. Research progress on motor imagery EEG signals[J]. Beijing Biomedical Engineering, 2018, 37(02):208--214.
[6]
ZHENG Jiajia, GUO Bin. Research on De-noising of EEG Based on Wavelet Packet and Improved EMD[J]. Journal of Changchun University of Science and Technology (Natural science edition), 2018, 41(02):110--113.
[7]
CUI Jun, ZHOU Jian, LIU Feng. Research on Improved Wavelet Packet Denoising Algorithm Based on Permutation Entropy[J].Mechanical Engineer, 2018,(11):92--94+98
[8]
YU Wenxu, JIANG Yuyu. Radar life signal denoising technology based on lifting wavelet transform[J].Telecom World, 2019, 26(01):270--271.
[9]
WU Yibing. Cognitive index of brain function-al state in brain waves: characteristics of distribution in different population groups[J]. Practical Journal of Cardiac Cerebral Pneumal and Vascular Disease, 2018, 26(06):53--57.
[10]
JIN Yu-xin, LUO Yi, YU Yang. Research on EEG Emotion Recognition Based on Deep Forest[J].Soft-ware Guide, 2019,18(07):53--55+59
[11]
ZHANG Shichao. Application of FFT Algorithm in Spectrum Density Analysis of Brain Wave Signals[J]. Computer Knowledge and Technology, 2017, 13(13):225--227.
[12]
SUN Hongchao, JI Zhijian, LIU Xianzhu. Design of image acquisition system based on quadrotor aircraft[J]. JOURNAL OF QINGDAO UNIVERSITY(Engineering Technology Edition), 2017, 32(01):26--30.
Index Terms
- Aerial Visual Information Acquisition System Based on EEG Control
Recommendations
EEG Signal Acquisition based on Laplacian Electrodes for Human SSVEP Research
ICBBE '24: Proceedings of the 2024 11th International Conference on Biomedical and Bioinformatics EngineeringElectroencephalography (EEG) is a technique that measures electrophysiological activity in the human brain, providing non-invasive monitoring with high temporal resolution. However, its spatial resolution is relatively low, presenting a significant ...
Overview of Acquisition Protocol in EEG Based Recognition System
Brain InformaticsAbstractElectroencephalogram (EEG) signals are unique neurons’ electrical activity representation, which can support biometric recognition. This paper investigates the potential to identify an individual using brain signals and highlight the challenges of ...
Visual Track System Applied in Quadrotor Aerial Robot
ICDMA '12: Proceedings of the 2012 Third International Conference on Digital Manufacturing & AutomationUnmanned aerial vehicle (UAV) had developed for many years, with quad-rotor vertical take-off and landing (VTOL) unmanned aerial vehicle developing fastest. The equations of its flight attitude have been derived and verified by some scholars. Up to now, ...
Comments
Information & Contributors
Information
Published In
December 2019
601 pages
ISBN:9781450376631
DOI:10.1145/3377170
Copyright © 2019 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]
In-Cooperation
- Shanghai Jiao Tong University: Shanghai Jiao Tong University
- The Hong Kong Polytechnic: The Hong Kong Polytechnic University
- University of Malaya: University of Malaya
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 20 March 2020
Check for updates
Author Tags
Qualifiers
- Research-article
- Research
- Refereed limited
Funding Sources
- the 2018 ordinary university teaching reform research project Foundation of Xinjiang Uygur Autonomous Region of China
- the 2018 national Innovation Training Program for College Students of Xinjiang University
Conference
ICIT 2019
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 71Total Downloads
- Downloads (Last 12 months)3
- Downloads (Last 6 weeks)0
Reflects downloads up to 25 Feb 2025
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in