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What kind of educational significance does the appreciation of paintings have? In order to answer this question, it is important to answer what and how visitors are learning in the painting appreciation. Neuroscientific research is important. However, while brain function mapping using functional magnetic resonance imaging (fMRI) allows us to understand which part of the brain processes the specific stimulus of viewing a painting, what kind of stimulus is transformed to what kind of recognition cannot be answered. Therefore, in addition to measuring brain activity, we will attempt to comprehensively understand the aesthetic experience using a questionnaire method. The following points were clarified as a result of the investigation. 1. By measuring brain activity as activity in the left and right frontal lobes, we clarified that "dialogue'' may lead to more creative understanding possibilities than "alone'' or "explanation''. 2. We must also recognize the role of the experience and knowledge that the visitor has, as well as the newly added knowledge. 3. Explanary style facilitates the subject's understanding, but at the same time, it entails the risk of restricting the frame of recognition, so it is necessary to take more adequate intervention methods. [ABSTRACT FROM AUTHOR]

Using the EEG features extracted from the EEG signals, the presented study investigates differences in the cognitive load posed on engineers while 3D CAD modelling in two different conditions, depending on the visual representations used as stimulus - a 2D and a 3D technical drawing of parts. The results indicate a higher cognitive load during the 2D drawing task. In addition, common indicators of the ongoing spatial information processing were recognised - a suppression of parietal and occipital alpha power, a higher frontal theta, and differences in theta power between the hemispheres. [ABSTRACT FROM AUTHOR]

The current study investigated how robot tutors influence brain activity during child-robot interaction (CRI) for learning of second language vocabulary. We gathered EEG signals from two groups of children; 1) Robot group (N=21) who listened to a storytelling social robot and learned French words, and 2) Display group (N=20) who listened to the same story in the French language mediated by only a computer screen. To measure learning-induced changes in the brain, functional connectivity analysis was conducted on EEG signals, which quantifies the communication between brain regions during the learning phase. Results showed a significantly higher functional brain connectivity for the Robot group in the theta frequency band, which has been previously associated with language functions in neuroscientific literature. Our results provide neurophysiological evidence for the benefit of robot tutors in second language learning in children. [ABSTRACT FROM AUTHOR]

Surgical robot has been considerable improvement in recent years, but their intuitive operability, representing user interoperability, has yet to be quantitatively evaluated. Thus, we propose a method for measuring brain activity to determine intuitive operability so as to design a robot with intuitive operability. The objective of this paper is to determine the angle and radius between the endoscope and the manipulator that allows users to perceive the manipulator as part of their body. In the experiments, subjects moved the hand controller to position the tip of the virtual slave manipulator on the target in the surgical simulator, measured the brain activity through brain imaging devices. The experiment was carried out a number of times with the virtual slave manipulator configured in a variety of ways. The results show that brain activation is significantly greater with a particular slave manipulator configuration. It concludes that the hand-eye coordination between the body image and the robot should be closely matched in the design of a robot with intuitive operability. [ABSTRACT FROM PUBLISHER]

In this paper, we investigated the memorization variation during the observation of TV commercials by tracking the cortical activity. According to the priori knowledge, in the human scalp EEG, the theta band responds selectively to the encoding of new information into episodic memory. There will be a significantly larger increase in theta power during the memory encoding. Then we proposed a novel method to calculate the memorization index during the observation, which is an important index to evaluate the effectiveness of the TV commercial. We used the Power Spectral Density (PSD) to calculate the power in frequency domain and assign each electrode with different weight. And in time domain, the weighted Global Field Power (w-GFP) was used to be the memorization index. So this method has high time resolution and frequency resolution. The results of w-GFP suggest that this kind of technology is able to track variation of the cerebral activity related to cognitive tasks such as reflecting memorization level during observation TV commercials. This method also suggests the possibility to identify frame segments of particular attractive for marketers which is important to improve the effectiveness of TV commercial. [ABSTRACT FROM PUBLISHER]

This paper deals with our research analyzing the influence of sound on human brain activity. Described experiment was performed on four subjects. The sound sequence consisted of six 40 s long tracks with different content was prepared as a WAV file and compressed to MP3 format with three different bit rates − 192 kb/s, 128 kb/s and 32 kb/s. Subjects were listening to the original sequence and compressed sequences with a decreasing bit rate. While they were listening to the sequences their electroencephalogram (EEG) was monitored by four channel device. The influence of decreasing bit rate on extracted EEG has been analyzed in time and frequency domain, energies were calculated. [ABSTRACT FROM PUBLISHER]

In this paper we study the influence of magnetic field, used for basic physiotherapy procedures, on brain electrical activity by analyzing the EEG signal. The recordings are performed in three conditions (before, during and after magnetotherapy) from electrodes placed in the scalp in the occipital region. For magnetotherapy procedure was used typical equipment with cylindrical coil of 60 cm diameter. We record EEG from 13 healthy volunteers for 3 types of sinusoidal pulses. The frequency analysis was performed for all recorded signals and was evaluating the power spectral density (PSD) for delta (0.5 to 4 Hz) and alpha (8 to 13 Hz) waves. [ABSTRACT FROM PUBLISHER]

This paper shows that pattern classification based on machine learning is a powerful tool to analyze human brain activity data obtained by magnetoencephalography (MEG). We propose a new weighting method using a multiple kernel learning (MKL) algorithm to localize the brain area contributing to the accurate vowel discrimination. Our MKL simultaneously estimates both the classification boundary and the weight of each MEG sensor; MEG amplitude obtained from each pair of sensors is an element of the feature vector. The estimated weight indicates how the corresponding sensor is useful for classifying the MEG response patterns. Our results show both the large-weight MEG sensors mainly in a language area of the brain and the high classification accuracy (73.0%) in the 100 ∼ 200 ms latency range. [ABSTRACT FROM PUBLISHER]

In this paper an algorithm providing an interface communication with a computer and the brain was used according to the rhythms of alpha, beta and mu for a number of activities such as relaxation, logical thinking and imagination of movement. For each activity the waveforms were recorded. [ABSTRACT FROM PUBLISHER]