Advanced Telecommunication Research Institute International

Kyoto, Japan

Advanced Telecommunication Research Institute International

Kyoto, Japan

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PubMed | Hamamatsu University School of Medicine, Osaka University, National Institute for Physiological science and Advanced Telecommunication Research Institute International
Type: | Journal: Scientific reports | Year: 2016

There are various methods by which people can express subjective evaluations quantitatively. For example, happiness can be measured on a scale from 1 to 10, and has been suggested as a measure of economic policy. However, there is resistance to these types of measurement from economists, who often regard welfare to be a cardinal, unbounded quantity. It is unclear whether there are differences between subjective evaluation reported on ordinal, bounded scales and on cardinal, unbounded scales. To answer this question, we developed functional magnetic resonance imaging experimental tasks for reporting happiness from monetary gain and the perception of visual stimulus. Subjects tended to report higher values when they used ordinal scales instead of cardinal scales. There were differences in neural activation between ordinal and cardinal reporting scales. The posterior parietal area showed greater activation when subjects used an ordinal scale instead of a cardinal scale. Importantly, the striatum exhibited greater activation when asked to report happiness on an ordinal scale than when asked to report on a cardinal scale. The finding that ordinal (bounded) scales are associated with higher reported happiness and greater activation in the reward system shows that overstatement bias in happiness data must be considered.


Kamoda H.,Advanced Telecommunication Research Institute International | Kamoda H.,Japan Broadcasting Corporation | Kitazawa S.,Advanced Telecommunication Research Institute International | Kukutsu N.,Advanced Telecommunication Research Institute International | And 3 more authors.
IEEE Transactions on Vehicular Technology | Year: 2016

With the aim of providing an overview of the propagation channels in a vehicle engine compartment, narrow-band (1-2 MHz) and broadband (500 MHz) channels in the frequency range from 2 GHz to 7.75 GHz were analyzed. To secure as much generality of analysis as possible, more than 500 propagation channels of seven types of automobiles were measured. The path loss and delay spread were analyzed in terms of distance and frequency. Models that take into account the interdependence of distance and frequency were used, considering that the object sizes in an engine compartment are comparable to the measurement wavelengths. The path-loss exponent for distance was about one below a break point of 450 mm and about three above the break point. The exponent for frequency was around one. The root-mean-square (RMS) delay spread increased as distance increased. Based on the obtained delay spread model, the propagation channel model was finally provided, which is a function of frequency and distance. Then, the channel model was validated by comparing delay spreads calculated from the generated channels and the measured channels. It is also noted that the channel dependence on the types of vehicle was not significant. © 2015 IEEE.


D'Arrigo S.,Fondazione Irccs Instituto Neurologico C Besta | Bulgheroni S.,Fondazione Irccs Instituto Neurologico C Besta | Imamizu H.,Advanced Telecommunication Research Institute International | Imamizu H.,Osaka University | And 4 more authors.
Cerebellum | Year: 2014

While the cerebellum's role in motor function is well recognized, the nature of its concurrent role in cognitive function remains considerably less clear. The current consensus paper gathers diverse views on a variety of important roles played by the cerebellum across a range of cognitive and emotional functions. This paper considers the cerebellum in relation to neurocognitive development, language function, working memory, executive function, and the development of cerebellar internal control models and reflects upon some of the ways in which better understanding the cerebellum's status as a "supervised learning machine" can enrich our ability to understand human function and adaptation. As all contributors agree that the cerebellum plays a role in cognition, there is also an agreement that this conclusion remains highly inferential. Many conclusions about the role of the cerebellum in cognition originate from applying known information about cerebellar contributions to the coordination and quality of movement. These inferences are based on the uniformity of the cerebellum's compositional infrastructure and its apparent modular organization. There is considerable support for this view, based upon observations of patients with pathology within the cerebellum. © Springer Science+Business Media 2013.


Nakanishi J.,Osaka University | Nakanishi J.,Advanced Telecommunication Research Institute International | Sakatani Y.,Osaka University | Okubo M.,Osaka University | And 5 more authors.
Proceedings - 2016 IEEE 10th International Conference on Semantic Computing, ICSC 2016 | Year: 2016

This paper explores the notion of self-agency in developing agent-based systems that support human-to-human communication. We first point out that a challenge in developing such agent-based systems is to successfully transfer conversational experiences that agents gain to their users. We then propose that the sense of self-agency is a key to address this challenge. We also show an experimental system to examine the impact of the sense of self-agency on the successful transfer of conversational experiences from agents to their users. © 2016 IEEE.


Brscic D.,Advanced Telecommunication Research Institute International | Kanda T.,Advanced Telecommunication Research Institute International | Ikeda T.,Advanced Telecommunication Research Institute International | Miyashita T.,Advanced Telecommunication Research Institute International
IEEE Transactions on Human-Machine Systems | Year: 2013

A method for tracking the position, orientation, and height of persons in large public environments is presented. Such a piece of information is known to be useful both for understanding their actions, as well as for applications such as human-robot interaction. We use multiple 3-D range sensors, which are mounted above human height to have less occlusion between persons. A computationally simple-tracking method is proposed that works on single sensor data and combines multiple sensors so that large areas can be covered with a minimum number of sensors. Moreover, it can work with different sensor types and is robust to the imperfect sensor measurements; therefore, it is possible to combine currently available 3-D range sensor solutions to achieve tracking in wide public spaces. The method was implemented in a shopping center environment, and it was shown that good tracking performance can be achieved. © 2013 IEEE.


Brscic D.,Advanced Telecommunication Research Institute International | Kanda T.,Advanced Telecommunication Research Institute International
IEEE Transactions on Human-Machine Systems | Year: 2015

Knowledge about space usage from variables such as density and walking speed could support a variety of service applications. However, there is not much knowledge on how the usage of space changes during extended periods of time and what affects the changes. We have installed a person tracking system in a large area of a shopping center and collected pedestrian data over a year. In this paper, we analyze the collected data to find the changes in pedestrian density and speed, percentage of children, and pedestrian trajectories. The changes from day to day, as well as during the day are examined, and a number of factors that affect them are identified. This is in turn used in the prediction of the state of the space using a Gaussian process model. © 2013 IEEE.


Sohgawa M.,Osaka University | Uematsu T.,Osaka University | Mito W.,Advanced Telecommunication Research Institute International | Kanashima T.,Osaka University | And 2 more authors.
Japanese Journal of Applied Physics | Year: 2011

A tactile sensor array covered by a projected cylindrical elastomer has been designed and fabricated for crosstalk reduction among sensor elements caused by the lateral deformation of the elastomer. The analysis of elastomer deformation by the finite element method showed that the optimal thickness of the flat elastomer between cylinders and the substrate is 50-100μm, because the sensor structure has not only a low crosstalk but also a high robustness. A tactile sensor array having the flat elastomer of 70 μm thickness has little crosstalk and high robustness. © 2011 The Japan Society of Applied Physics.


Hirashima D.,Osaka University | Uematsu T.,Osaka University | Sohgawa M.,Osaka University | Mito W.,Advanced Telecommunication Research Institute International | And 3 more authors.
Japanese Journal of Applied Physics | Year: 2011

A Tactile sensor system consisting of elements with three microcantilevers embedded in a cylindrical elastomer has been fabricated by micro electromechanical systems (MEMS) technology. These sensor small size (3 × 4mm2) chips are mounted on a flexible sheet, and thus the fabricated sensor array can be set even on a curved surface. In addition, the spacial distribution of normal and shear forces is obtained when two kinds of objects (an acrylic hemisphere and a brass cylinder) come in contact with the fabricated sensor shifted laterally. The distribution results appropriately reflect the surface shape of the object and give the behavior of the forces vector. © 2011 The Japan Society of Applied Physics.


Samek W.,TU Berlin | Kawanabe M.,Advanced Telecommunication Research Institute International | Muller K.-R.,TU Berlin | Muller K.-R.,Korea University
IEEE Reviews in Biomedical Engineering | Year: 2014

Controlling a device with a brain-computer interface requires extraction of relevant and robust features from high-dimensional electroencephalographic recordings. Spatial filtering is a crucial step in this feature extraction process. This paper reviews algorithms for spatial filter computation and introduces a general framework for this task based on divergence maximization. We show that the popular common spatial patterns (CSP) algorithm can be formulated as a divergence maximization problem and computed within our framework. Our approach easily permits enforcing different invariances and utilizing information from other subjects; thus, it unifies many of the recently proposed CSP variants in a principled manner. Furthermore, it allows to design novel spatial filtering algorithms by incorporating regularization schemes into the optimization process or applying other divergences. We evaluate the proposed approach using three regularization schemes, investigate the advantages of beta divergence, and show that subject-independent feature spaces can be extracted by jointly optimizing the divergence problems of multiple users. We discuss the relations to several CSP variants and investigate the advantages and limitations of our approach with simulations. Finally, we provide experimental results on a dataset containing recordings from 80 subjects and interpret the obtained patterns from a neurophysiological perspective. © 2008-2011 IEEE.


Shibata K.,Advanced Telecommunication Research Institute International
Clinical Neurology | Year: 2012

Neurofeedback is defined as a method to read out information from the brain and feed the information back to the brain. This technology has developed in the past ten years and attracted considerable attention as potential treatments for rehabilitation and psychiatric disease. We recently invented the decoded neurofeedback (DecNef) method, a new neurofeedback technique using functional magnetic resonance imaging. With DecNef, subjects were trained to regulate their brain activation pattern in a specific area and lead the pattern to a target state. We found that the DecNef training for several days leads to perceptual improvement that corresponds to the induced target state. DecNef enables us to test cause-and-effect relationships between neural activation in a target brain area and changes in perception, cognition, and behavior. In this sense, this method can be a powerful tool in cognitive and systems neuroscience. In addition, the concept of DecNef, leading a neural activation pattern to a specific state,can be applied for a variety of fields including engineering and medical treatment.

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