Proceedings ArticleDOI
Feature extraction of EEG spectrum for Steady-State Visual Evoked Potentials detection
Akitoshi Itai,Arao Funase +1 more
- pp 1154-1157
Reads0
Chats0
TLDR
Results show that the detection ratio reaches 90% by using a spectrum intensity ratio with unsupervised classification and indicates the SSVEP is enhanced by proposed feature extraction with second harmonic.Abstract:
Recent years, a Steady-State Visual Evoked Potential (SSVEP) is adopted as a basis for Brain Computer Interface (BCI)[1]. Various feature extractions and classification techniques are proposed to achieve BCI based on SSVEP. The feature extraction of SSVEP is developed in the frequency domain regardless of the limitation in hardware architecture, i.e. a low power and simple calculation. We introduce here the feature extraction using a spectrum intensity ratio. Results show that the detection ratio reaches 90% by using a spectrum intensity ratio with unsupervised classification. It also indicates the SSVEP is enhanced by proposed feature extraction with second harmonic.read more
Citations
More filters
Patent
Dispositif et procédé pour influer sur l'activité cérébrale
TL;DR: In this article, the authors present a system for influencing activite cerebrale based on the activite electrique du cerveau humain (CH) and the signal transduit (ST) correspondant.
Patent
Device and method for influencing brain activity
TL;DR: In this paper, a device (100) for influencing brain activity is presented, which comprises a sensor (10), which is configured to measure a wave-form of an electrical activity of a human brain (HB) and a correspondingly transduced signal (TS).
References
More filters
Journal ArticleDOI
Brain-computer interfaces for communication and control.
Jonathan R. Wolpaw,Jonathan R. Wolpaw,Niels Birbaumer,Niels Birbaumer,Dennis J. McFarland,Gert Pfurtscheller,Theresa M. Vaughan +6 more
TL;DR: With adequate recognition and effective engagement of all issues, BCI systems could eventually provide an important new communication and control option for those with motor disabilities and might also give those without disabilities a supplementary control channel or a control channel useful in special circumstances.
Journal ArticleDOI
Brain-computer interfaces for communication and control
TL;DR: The brain's electrical signals enable people without muscle control to physically interact with the world through the use of their brains' electrical signals.
Book
Human Brain Electrophysiology: Evoked Potentials and Evoked Magnetic Fields in Science and Medicine
TL;DR: In this article, the authors propose an approach to explore the potential of PE in the context of neurophysiologie and psychophysics, and propose a set of criteria for evaluating the applicability of PE.
Journal ArticleDOI
Human EEG responses to 1-100 Hz flicker: resonance phenomena in visual cortex and their potential correlation to cognitive phenomena.
TL;DR: An experiment, where ten human subjects were presented flickering light at frequencies from 1 to 100 Hz in 1-Hz steps, and the event-related potentials exhibited steady-state oscillations at all frequencies up to at least 90 Hz, which could be a potential neural basis for gamma oscillations in binding experiments.
Related Papers (5)
Frequency detection with stability coefficient for steady-state visual evoked potential (SSVEP)-based BCIs.
Zhenghua Wu,Dezhong Yao +1 more
Frequency recognition methods for dual-frequency SSVEP based brain-computer interface
Min Hye Chang,Kwang Suk Park +1 more