• DocumentCode
    3303641
  • Title

    Perception delay and its estimation analyzing EEG signal

  • Author

    Chakraborty, Goutam ; Sawamoto, Jun ; Kikuchi, Daigo ; Yokoha, Hikaru

  • Author_Institution
    Dept. of Software & Inf. Sci., Iwate Prefectural Univ., Iwate, Japan
  • fYear
    2013
  • fDate
    13-15 June 2013
  • Firstpage
    57
  • Lastpage
    62
  • Abstract
    Human brain receives a variety of raw data through sense organs, and process them to generate meaningful information like an image or an alarm etc. These environmental information is passed to and integrated in cerebral cortex, where it is evaluated with respect to knowledge acquired from previous experiences. Finally, if the situation warrants an effort for a reward or survival, a strong signal is generated. This signal activates primary motor cortex for movement and control of limbs, thus playing a vital role in subsequent action. We call this Perception, mechanism to be Aware. A bottom-up processing of the raw sensor modalities to form an abstraction of the environment, combined with a top-down processing of the memory and knowledge acquired through previous experiences, are involved in the complex process of Perception. The time lag between external stimuli and corresponding action is reaction or reflex delay, consisting of occurrence of external stimuli to its perception (Tper) and perception to action (Tact). We are interested to measure Tper, the perception delay. When a strongly desired or acutely dangerous event, which occurs with low probability, a large number of neurons in the parietal lobe exhibit synchronized activity, producing a signal strong enough to detect outside the skull using electroencephalography (EEG). We define the onset time of perception signal, and measure Tper for different subjects. We also indicate how our method of analysis of EEG signal could usher efficient Brain Computer Interface (BCI) applications.
  • Keywords
    brain-computer interfaces; electroencephalography; neurophysiology; BCI applications; EEG signal analysis; brain computer interface applications; cerebral cortex; electroencephalography; environmental information; external stimuli; human brain; limb control; neurons; parietal lobe; perception delay; perception signal; primary motor cortex; probability; raw data; raw sensor modalities; sense organs; synchronized activity; Ash; Delays; Educational institutions; Electroencephalography; Feature extraction; Probes; Vectors; Clustering; EEG; Fuzzy c-means; Multilayer SOM; Wavelet transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cybernetics (CYBCONF), 2013 IEEE International Conference on
  • Conference_Location
    Lausanne
  • Type

    conf

  • DOI
    10.1109/CYBConf.2013.6617427
  • Filename
    6617427