Feature extraction and classification of EEG signal based anomaly detection and home automation for physically challenged/impaired people using neurosky mindwave headset-Reference-Cited by-同舟云学术

Feature extraction and classification of EEG signal based anomaly detection and home automation for physically challenged/impaired people using neurosky mindwave headset

Published:2020 Issue: Volume: Page:
ISSN:0094-243X
Container-title:1ST INTERNATIONAL CONFERENCE ON SUSTAINABLE MANUFACTURING, MATERIALS AND TECHNOLOGIES
language:
Short-container-title:

Author:

Raja P. Dinesh Anton,Akash D.,Kumar S. John Prem,Harsha Dudigam Sri,Arunachalaperumal C.

Publisher

AIP Publishing

Link

http://aip.scitation.org/doi/pdf/10.1063/5.0000064

Reference18 articles.

1. BCI Use and Its Relation to Adaptation in Cortical Networks

2. Integration of Low Cost EEG Headset with The Internet of Thing Framework by Mohammed HasanAlnemari from University of Calfornia in 2017.

3. Mindwave reading website: https://www.wellandgood.com.

4. Detection Of Eye Blinks From EEG Signals For Home Lighting System Activation. (2009), ISMA09.

5. Feature Extraction from EEG Signal through One Electrode Device for Medical Application, (2015), NGCT-2015.

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Depression assessment using integrated multi-featured EEG bands deep neural network models: Leveraging ensemble learning techniques;Computational and Structural Biotechnology Journal;2024-12

2. EEG based Smart Wheelchair using Raspberry Pi for Elderly and Paralysed Patients;2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon);2022-10-16

3. Deep Learning Based BCI For Enhancing Quality of Life of Senior Citizens;2022 International Conference on Signal and Information Processing (IConSIP);2022-08-26

4. Non-Invasive Vital Health Monitoring of Senior Citizen with Wearable-IoT Sensor Node;2022 6th International Conference on Intelligent Computing and Control Systems (ICICCS);2022-05-25

5. A Review of EEG and fMRI Measuring Aesthetic Processing in Visual User Experience Research;Computational Intelligence and Neuroscience;2021-12-16