@inproceedings{bf4f1ad876a448e6859ac543692d8258,
title = "Generating EEG Graphs Based on PLA for Brain Wave Pattern Recognition",
abstract = "Brain Computer Interface (BCI) has been an emerging topic in recent years. Specially, Artificial Intelligence (AI) is becoming a hot research area in recent years. However, many BCI techniques utilize invasive interfaces to brains (animal or human), which could cause potential risks for experimental subjects. EEG (Electroencephalography) technique has been used extensively as a non-invasive BCI solution for brain activity study. Many psychological work has suggested that human brains can generate some recognizable EEG signals associated with some specific activities. This paper suggests a novel EEG recognition method, i.e. Segmented EEG Graph using PLA (SEGPA), that incorporates improved Piecewise Linear Approximation (PLA) algorithm and EEG-based weighted network for EEG pattern recognition, which can be used for machinery control. The improved PLA algorithm and EEG-based weighted network technique incorporates the data sampling and segmentation method. This research proposes a potentially efficient method for recognizing human's brain activities that can be used for machinery or robot control.",
keywords = "BCI, Data Mining, EEG Pattern Recognition, Machinery Control",
author = "Zhang, {Hao Lan} and Huanyu Zhao and CHEUNG, {Yiu Ming} and Jing He",
note = "Funding Information: China (No. 61272480, No. 61572022), Zhejiang Natural Science Fund (No.LY14G010004, LY18F020001). Thanks to the EEG Lab at Nottingham University (China) for providing some EEG data sources, which will be further evaluated by SEGPA. Funding Information: This work is partially supported by Ningbo Innovation Team (No. 2016C11024), National Natural Science Fund of; 2018 IEEE Congress on Evolutionary Computation, CEC 2018 ; Conference date: 08-07-2018 Through 13-07-2018",
year = "2018",
month = sep,
day = "28",
doi = "10.1109/CEC.2018.8477796",
language = "English",
series = "2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Proceedings",
address = "United States",
}