Search Results - "Emotiv"

Performance with Prosthetic Head and Emotiv Brainwaves Headset by Stelarc, Stelarc

“…Performance with Prosthetic Head & Emotiv Brainwaves Headset…”
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Hume’s moral sentiments and Humean moral aliefs by Chamberlain, James

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EEG pattern for stress condition during listening rock music and binaural beat sound by Mohamed, N. A. N., Fuad, N., Marwan, M. E., Norazlin, Norazlin

“…The data were collected by using Emotiv Insight 5-Channel EEG Mobile set which consist of the Emotiv Insight headset, the Universal USB Receiver and the Emotiv Pure EEG software. …”
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Human hearing disorder recognition model using eeg-aep based signal by Md Nahidul, Islam

“…Two types of AEP signals were collected using a five-channel Emotiv insight device (UMP- Emotiv-AEP), recorded from ten subjects. …”
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Electroencephalogram (EEG) pattern for human smoke habit by Mokhtar, A. S., Fuad, N., Marwan, M. E., Norazlin, Norazlin

“…The essential motivation behind this research is to investigate the Electroencephalogram (EEG) pattern for smoker using sub-band of theta, alpha and beta groups focus on Power Spectral Density (PSD). EMOTIV Pure•EEG™, SPSS and Excel is used as the software while Emotiv Insight is used as the hardware in this research. 5 smokers and 5 non-smokers were tested for this exploration. …”
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Design a neurofeedback system with incorporated real time EOG artifact removal by Ho, Jun Leong

“…The method used for artifact removal is ICA-REG. the BCI system is designed by using the EMOTIV Insight headset to collect EEG signals, OpenViBE for processing the EEG signal, and the Unity3D application for the interface of the BCI system. …”
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Measurement Of Engagement And Cortical Reorganization In Brains Of Stroke Patients Via Electroencephalography (EEG) As A Result Of Visual Feedback Therapy by Law, Khuan Foo

“…This research covers two major aspects, the influence of the goal-oriented visual feedback rehab system on the engagement of stroke patients in their rehabilitation exercises, as well as the design of brain functional recovery quantification algorithm via Electroencephalography (EEG). EMOTIV EPOC+ is the EEG device used in this research to quantify engagement index as well as the brain functional recovery through its recorded EEG signals. …”
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Analysis of mental imagery based cognitive tasks for brain computer interface by Tang, Chee Hoe

“…The optimal electrodes for mental imagery applications are the C3, Cz and C4 electrodes that are not present in low cost EEG acquisition devices like the Emotiv EPOC+ headset. However, this limitation is overcome in this study. …”
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Wink based facial expression classification using machine learning approach by Rashid, Mamunur, Norizam, Sulaiman, Mahfuzah, Mustafa, Bari, Bifta Sama, Sadeque, Md Golam, Hasan, Md Jahid

“…The brain signals have been captured using Emotiv Insight which consists of five channels. Fast Fourier transform and the sample range have been computed to extract the features. …”
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K-NN classification of brain dominance by Khairul Amrizal, Abu Nawas, Mahfuzah, Mustafa, Rosdiyana, Samad, Pebrianti, Dwi, Nor Rul Hasma, Abdullah

“…Then, brainwave signal will record using Emotiv device. The threshold value is used to remove the artifact and noise from data collected to acquire a smoother signal. …”
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Effect Of Error Augmentation Training Strategy On Engagement In Rehabilitation Therapy by Alexander, Tan Wai Teng

“…The brain response and sustained engagement of the subject when responding to the different training strategies are studied using electroencephalogram (EEG) obtained from the measured signals of the brain activities based on the Emotiv EPOC+ headset during the exercise. The results demonstrated that the error-augmentation training paradigms can improve the engagement level (p<0.05) in healthy subjects during a rehabilitation exercise compared to conventional rehabilitation therapy. …”
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EEG pattern of human calmness during listening to Al-Quran recitation and soft instrumental music by Rahim, A. A. A., Fuad, N., Marwan, M. E., Norazlin, Norazlin

“…There are 10 subject were recorded the EEG signal during listening to al-Quran recitation and soft instrumental music by using Emotiv Insight equipment. The raw data of EEG will undergo analysing process by using SPSS software to test the accurately of the data. …”
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The Classification of Hallucination: The Identification of Significant Time-Domain EEG Signals by Chin, Hau Lim, Mahendra Kumar, Jothi Letchumy, Rashid, Mamunur, Musa, Rabiu Muazu, Mohd Azraai, Mohd Razman, Norizam, Sulaiman, Rozita, Jailani, Anwar, P. P. Abdul Majeed

“…In this study, significant time-domain features were identified to determine the best features that could yield high classification accuracy (CA) on different classifiers. Emotiv Insight, a 5 channels headset, was used to record the EEG signal of 5 subjects aged between 23 and 27 years old when they are in a hallucination state. …”
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The Classification of Wink-Based EEG Signals: The Identification of Significant Time-Domain Features by Jothi Letchumy, Mahendra Kumar, Rashid, Mamunur, Musa, Rabiu Muazu, Mohd Azraai, Mohd Razman, Norizam, Sulaiman, Rozita, Jailani, Anwar, P. P. Abdul Majeed

“…The present study aims at identifying significant time-domain based features that could provide a reasonable classification of the right or left wink based on EEG signals evoked by the aforesaid facial expressions. The Emotiv Insight mobile EEG system was used to capture the EEG signals acquired from the winking of the left and right eye of five healthy subjects between the age of 23 and 27 years old. …”
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A game-based psychotherapy intervention model for memory disorder using neurofeedback approach by Lim, Sie Yi Laura

“…Model validation was performed by analyzing EEG data recorded from six channels of Emotiv reader which are associated to the factors in the model by considering a broader score range and ceiling effects of 56.6%. …”
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