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Ksenia Sapozhnikova, Roald Taymanov
ABOUT A MEASURING MODEL OF EMOTIONAL PERCEPTION OF MUSIC

The problem of finding the parameters of musical composition, which cause emotional perception of music and at that, can be measured, has been formulated. A hypothesis has been advanced and proved under which the perception of music is realized in an inertial nonlinear system, the emotional reaction of a listener depending on the parameters of a combinative spectrum.
The regularities have been discovered which distinguish the combinative spectrum of oscillations at the output of the non-linear system under the influence of music components written in various major and minor keys.
The regularities discovered are important for psychotherapy, biophysics and science of art and can be used for developing new musical instruments.

Jukka Lekkala, Jussi Tuppurainen, Mika Paajanen
MATERIAL AND OPERATIONAL PROPERTIES OF LARGE-AREA MEMBRANE TYPE SENSORS FOR SMART ENVIRONMENTS

Certain plastic film materials can be used as sensitive tactile and impact sensors covering large surfaces. In surveillance and health care applications they can sense movement, activity or some physiological parameters. Various available film materials and their operational principles are reviewed. Comparison has been made between piezoelectric polymer film, thin porous electret material, and soft capacitive film materials in their sensing capabilities. Generation of the signal and measurement instrumentation for different sensor configurations is discussed. The structure and properties of a voided polypropylene film material and some applications and measurement results are presented. It can be shown that especially in large area applications the electret type porous films show several benefits when compared with the other solutions.

Koji Ito, Mikiko Hori, Toshio Kondo
THE IMPEDANCE AND POSITION CONTROL OF THE ROBOT MANIPULATOR BY THE EMG SIGNAL

The present paper proposes a human interface regulating the viscoelastic characteristics of the robot manipulator by the EMG signals picked up from the subject. The desired trajectory intended by the subject is generated through the bilinear internal arm model with the EMG input signals, and then the viscoelastic coefficients of robot manipulator are regulated corresponding to the sum of the flexor and extensor EMG levels. It is then shown that the subject is able to change the interactive characteristics against the robot’s environment by his own intention.

Tomáš Dresler, Jan Holub, Radislav Šmíd
VOICE TRANSMISSION QUALITY MEASUREMENT BASED ON WAVELET TRANSFORMATION

A new method for objective voice quality measurements is described in the article. It is based on wavelet transformation that enables intrinsically also time localisation of eventual impairments. In comparison with other methods (based on P.861 and P.862 algorithms), the described method saves about one half of operations needed for achievement of comparable results, thus saving computation power and time.

Isamu Kajitani, Nobuyuki Otsu, Tetsuya Higuchi
IMPROVEMENT OF MYOELECTRIC PATTERN CLASSIFICATION RATE WITH µ-LAW QUANTIZATION.

In order to realize a myoelectric-controlled multi-functional hand prosthesis, this paper proposes a method to improve the myoelectric pattern classification ability of a hand controller. By applying the proposed method of µ-LAW quantization, the pattern classification rate increased by 11.1% (averaged for five subjects) and by 15.5% (maximum), with a practical pattern classification rate of 97.8% being achieved.

Thomas Allevard, Eric Benoit, Laurent Foulloy
FUZZY GLOVE FOR GESTURE RECOGNITION

This paper presents an application of a fuzzy rule-based aggregation to a dataglove for the recognition of gestures. The fuzzy glove is a dataglove that has fuzzy sensor functionalities. The approach used for the definition of numerical to linguistic conversion, and for the definition of the sets of rules is discussed.

Kozo Ohtani, Mitsuru Baba
ULTRASONIC ROBOT EYE FOR SHAPE RECOGNITION EMPLOYING A GENETIC ALGORITHM

This paper describes an ultrasonic robot eye for shape recognition using ultrasound pressure data and a Genetic Algorithm. This type of robot eye has commonly used a Neural Network (NN) for shape recognition. However, a NN perform poorly when lacking learned data. In order to overcome this problem when using a NN, we here attempt to replace the NN with a Genetic Algorithm (GA). Unlike a NN, the GA can recognize shapes without depending on learned data. Experimental results demonstrate that the recognition ratios of the proposed ultrasonic robot eye using the GA are higher than that of a conventional ultrasonic robot eye using a NN. Therefore, it is shown that our robot eye is effective for many robotic applications.

Jaromír Volf, Josef Vlcek
SENSORS TO IMPROVE TIMBER BARKING – ROBOT INTELLIGENT BEHAVIOUR

Having been realized the Timber Barking Model Device with the Operational Dimensions, which used the new untraditional timber barking way – by means of the Electric Current Effects Passing through the Subcortical Layers, the number of Sensors have to be used, to be set the adaptive intelligent barking device on the robotized level. To be reached the successful timber barking - the key problem is the electric power controller’s setting with respect - first – to the subcortical layers quality (being changed in time); - second – with respect to the log’s cone; - third – with respect to the input (output) log’s diameter to (out) of the device. The other problem is timber – barking surface quality processing.

Shigenobu Muraoka
RECOGNITION OF SHAPE BY MEANS OF ACTIVE ANTENNA USING QUARTZ RESONATORS

This paper deals with the application of a quartz resonator to a force sensor installed into an active antenna for use in recognizing an environment. When the antenna makes contact with the environment, the force sensor can detect the contact force and the contact position. Shapes of a rectangular plate, a circular plate and a rectangular parallelepiped were recognized by the active antenna.

Yusuke Inoue, Ichirou Ishimaru, Gen Hashiguti
POSITION AND ATTITUDE MEASUREMENT FOR MICRO MANIPULATOR BY DIFFRACTED LIGHT PROVE

In the present study, we investigate the removal of extremely minute materials via a micro manipulator. This operation requires measurement and control of the position and attitude of the micro manipulator at a sub-micrometer level. Therefore, a miniature instrumentation sensor having six degrees-of-freedom is necessary. We devised a technology that measures the diffracted light from minute slits formed on the micro manipulator which enables the position and attitude to be measured in six degrees-of-freedom simultaneously using only one laser light.
In the present paper, we report the result of a trial production of minute slits formed by anisotropy etching at a high forming precision. We optimized the design of this minute slits based on Fraunhofer diffraction theory. In addition, we discuss the feasibility of the proposed technology as well as the experimental results of diffracted light distribution from these slits.

Page 892 of 938 Results 8911 - 8920 of 9371