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This paper presents a new method for video preference estimation using functional near-infrared spectroscopy signals (fNIRS signals). The proposed method first computes fNIRS features from fNIRS signals recorded while users are watching videos and multiple visual features from these videos. Next, by applying Locality Preserving Canonical Correlation Analysis to fNIRS features and each visual feature,...
The correlation between visual perception and the evoked emotional response has been investigated extensively in the area of cognitive psychology using the method of electroencephalography (EEG). Activities in the visual cortex have been found to be correlated with psychophysical performance, visual attention, and subjective perceptual experience. While electroencephalography could record the cerebral...
Our society is in the trends of changing. As the changing increases, people's stress also increases. In recent year, many research reports found people can focus on drawing pictures and has an effect of mitigating stress when they drawing. The research utilized a survey questionnaire to explore students subjective preferences about the pictures. And use the wearable EEG equipment to detect the brainwave...
Recent advances in signal processing for the detection of Steady-State Visual Evoked Potentials (SSVEPs) have moved away from traditionally calibrationless methods, such as canonical correlation analysis, and towards algorithms that require substantial training data. In general, this has improved detection rates, but SSVEP-based brain-computer interfaces (BCIs) now suffer from the requirement of costly...
While we recognize additional studies are needed to confirm repeatability and reliability in detecting normative and pathologic values, our methodology is an important step in demonstrating quantifiable measurements of the visual system as an indirect measurement of brain function.
The advantage of using collaborative brain-computer interfaces in improving human response in visual target recognition tests was investigated. We used a public EEG dataset created from recordings made using a 32-channel EEG system by Delorme et al. (2004) to compare the classification accuracy using one, two, and three EEG signal sets from different subjects. Fourteen participants performed a go/no-go...
Decoding of various motor intentions for generating command is one of the important factors in brain-based wheelchair system. The goal of this study focuses on classifying four types of trunk-related motor execution and imagery intentions. By brain components which are related to the trunk-related movements (waist, shoulder, and trunk) are generated in the very small and very close brain areas; therefore,...
This paper demonstrates a high performance brain-computer interface (BCI) that allows users to dial phone numbers. The system is based on Canonical Correlation Analysis (CCA) and the automatic artifacts removal system based on BSS-CCA method and Steady-State Visual Evoked Potential (SSVEP). Through six frequency bands (9Hz, 10Hz, 11Hz, 12Hz, 13 Hz, 14Hz) displayed on the screen, subjects can choose...
Current trends and needs in Human-Computer Interaction (HCI) are rapidly increasing; however the possibility to estimate user's state remains unchanged. The need to predict user's state and intentions, and to adapt accordingly in real time to her/his decisions could bring benefits in this dual interaction. Following this purpose, we evaluate the state of a user by means of cognitive processing. In...
This paper evaluates the single trial extraction of Visual Evoked Potential (VEP) signal. Single trial extraction of VEP contributes in the integration of fMRI-EEG application as well as in the Brain Computer Interface application. The extraction is performed by using the Fast Partial Least Square (PLS) algorithm. The extraction of the desired VEP signals, both in artificial and real Electroencephalography...
We investigated a correlation between electroencephalography (EEG) power and user satisfaction about haptic sensation. EEG power in alpha, delta, and high beta band showed a significant correlation with haptic satisfaction, especially in the early period. Our results show the feasibility of a novel metric for UI design of consumer electronics.
Normal oscillations in different frequency bands have an important role in cognitive processing in the frontal region. The key issue is whether frequency oscillations of Electroencephalography (EEG) are related to cognitive task or not in occipital region. All frequency bands delta (δ), theta (θ), alpha (α), beta (β) and gamma (γ) are involved in brain tasks. This study is conducted to investigate...
Subjective quality tests give important information about the user's perception on the quality of an audio or video signal. These tests are helpful but usually lack information about the user's cognitive state. This might be crucial when consuming a service, as lower quality services may lead to a less frequent use. Therefore, physiological measures have become more popular in the domain of quality...
Visual search tasks can take long amounts of time and the more complicated the image is the longer it takes to find a target. Therefore, it is of interest to come up with a system that can augment a searcher's vision, in relation to speed, enabling the searcher to find the target faster than through normal means. Audition and vision are important for both communicative and informational purposes and...
This paper reports the brain activation patterns of five subjects who were abruptly awakened from microsleeps in a simulated automotive driving experiment. By comparing the BOLD signals between behavioral microsleep (BM), abrupt awakening (AA) and post-abrupt awakening (post-AA) stages, we observed that visual area, frontal cortex, limbic lobe manifested more intense activation during the AA stage...
In non-invasive brain-computer interface (BCI), the analysis of event-related potentials (ERP) has typically focused on averaged trials, a current trend is to analyze single-trial evoked response individually with new approaches in pattern recognition and signal processing. Such single trial detection requires a robust response that can be detected in a variety task conditions. Here, we investigated...
This work aims at analyzing event-related potentials (ERPs) of posterior and central areas of the cortex during motor imagery of spike volleyball task along the time of imagination. Multi-channel EEG was acquired following 10-20 international system over occipital, parietal and central areas during kinesthetic motor imagery (KMI) of volleyball spike and reference (REF) period (mental countdown), from...
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