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1.

001-es BibID:BIBFORM038640
Első szerző:Oniga István László (villamosmérnök)
Cím:Intelligent Human-Machine Interface Using Hand Gestures Recognition / Oniga Stefan, Végh János, Orha Ioan
Dátum:2012
Megjegyzések:Due to the rapid increase of number of industrial or domestic systems that must be controlled it is clear that new, more natural methods of control are needed. This paper presents an intelligent human machine interface based on hand's gesture recognition. The gestures based control system is composed by two subsystems that communicated via radio waves. The first subsystem is a bracelet that captures the movement of the hand using accelerometers. The second subsystem is the control box on which the data processing takes place. Artificial Neural Networks (ANN) are used to add learning capabilities and adaptive behavior to intelligent interfaces that can be used even by elderly or impaired people. Field Programmable Gate Array (FPGA) implementation is an easy an attractive way for hardware implementation. The desired network is modeled, trained and simulated using Neural Network Toolbox. Many networks architecture trained with different methods could be simulated and the network that is best performing for givenapplication is chosen for hardware implementation using System Generator tool developed by Xilinx Inc. This also allows the easy generation of Hardware Description Language (HDL) code from the system representation in Simulink. This HDL design can then be synthesized for implementation in the Xilinx family of FPGA devices.
Tárgyszavak:Műszaki tudományok Informatikai tudományok konferenciacikk
Human-Machine Interface
Gesture recognition
Artificial Neural Networks
Field Programmable Gate Arrays
Megjelenés:Automation Quality and Testing Robotics (AQTR), 2012 IEEE International Conference on. - p. 559-563. -
További szerzők:Végh János (1953-) (fizikus) Orha, Ioan
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2.

001-es BibID:BIBFORM032861
035-os BibID:WOS:000291967300149
Első szerző:Oniga István László (villamosmérnök)
Cím:Adaptive Hardware-Software Co-Design Platform for Fast Prototyping of Embedded Systems / Stefan Oniga, Alin Tisan, Claudiu Lung, Attila Buchman, Ioan Orha
Dátum:2010
ISSN:1842-0133
Megjegyzések:This paper presents the hardware-software co-design platform based onFPGA developed for fast prototyping of embedded systems using hardwaremodules that can be easily connected and "driver" modules that canmanage I/O devices and sensors basic behavior. Having this framework,adding of a new I/O peripheral needs only design and synthesis of anapplication specific VHDL or software module. Using neural networks (NN)to add learning capabilities and adaptive behavior is essential for anintelligent system and the use of FPGA is an important feature in termsof their hardware implementation. The designed architecture allows theinsertion of intelligent interface based on neural networks created withthis type of modules. This platform is based on low cost general purposeFPGA boards without need for hardware design.
Tárgyszavak:Műszaki tudományok Villamosmérnöki tudományok konferenciacikk
Adaptive behavior
Fast prototyping
FPGA boards
Hardware implementations
Hardware software codesign
I/O Device
Intelligent interface
Learning capabilities
Software modules
Megjelenés:12th International Conference on Optimization of Electrical and Electronic Equipment, OPTIM 2010. - (2010), p. 1004-1009. -
További szerzők:Tisan, Alin Lung, Claudiu (1977-) (villamosmérnök) Buchman Attila (1957-) (villamosmérnök) Orha, Ioan
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3.

001-es BibID:BIBFORM027884
Első szerző:Oniga István László (villamosmérnök)
Cím:FPGA implementation of feed-forward neural networks for smart devices development / Stefan Oniga, Alin Tisan, Daniel Mic, Claudiu Lung, Ioan Orha, Attila Buchman, Andrei Vida-Ratiu
Dátum:2009
Megjegyzések:This paper presents the results obtained in the implementation of Feed-Forward Artificial Neural Networks (FFANN) with one or several layers, used in the development of smart devices that needs learning capability and adaptive behavior. The networks were implemented using ANN specific blocks created by the authors using the System Generator software. The training and the testing of the networks was conducted using sets of 150 training and test vectors with 7 elements. 2009 IEEE.
Tárgyszavak:Műszaki tudományok Villamosmérnöki tudományok konferenciacikk
Adaptive behavior
Feed-forward artificial neural networks
FPGA implementations
Learning capabilities
Smart devices
Megjelenés:International Symposium on Signals, Circuits and Systems ISSCS 2009, Iasi, Romania, 9-10 July 2009. - (2009), p. 401-404. -
További szerzők:Tisan, Alin Mic, Daniel Lung, Claudiu (1977-) (villamosmérnök) Orha, Ioan Buchman Attila (1957-) (villamosmérnök) Vida-Ratiu, Andrei
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4.

001-es BibID:BIBFORM020102
Első szerző:Oniga István László (villamosmérnök)
Cím:Hardware implemented neural networks used for hand gestures recognition / S. Oniga, I. Orha
Dátum:2011
ISSN:1844-9689
Tárgyszavak:Műszaki tudományok Informatikai tudományok idegen nyelvű folyóiratközlemény külföldi lapban
Neural networks
FPGA
Gesture recognition
Megjelenés:Carpathian Journal of Electronic and Computer Engineering 4 (2011), p. 1. -
További szerzők:Orha, Ioan
Internet cím:Intézményi repozitóriumban (DEA) tárolt változat
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5.

001-es BibID:BIBFORM067293
Első szerző:Orha, Ioan
Cím:Real time data acquisition system for activity recognition using motion and physiological sensors / I. Orha, S. Oniga
Dátum:2016
ISSN:1844-9689
Megjegyzések:In this paper we present the implementation of anactivity recognition system based on a data acquisition systemwith sensors for acceleration and physiological parameters. Inorder to recognize more complex activities we need dataacquisition from multiple sensors. Based on our previousexperience gained in designing acquisition systems for activityrecognition, we have designed and developed a system with threesensors. We developed two possible configurations: one usingthree acceleration sensors, and one with two acceleration sensorsand one heart rate sensor. In the experimental phase we foundthat the third accelerometer that we've placed on the waist doesnot provide relevant data to improve the rate of recognitionsignificantly. Thus we opted for the second option, consideringthat the integration of a physiological sensor provides additionalinformation regarding activities, health status and detectingabnormal states. Starting from the experimental phase, wedesigned and developed a module integrating the three sensors,with additional functionalities such as an SD card to store theacquired data, and a Bluetooth module for connect to portabledevices. In addition, we have integrated a RTC (Real TimeClock) module in order to add time label.
Tárgyszavak:Műszaki tudományok Informatikai tudományok idegen nyelvű folyóiratközlemény külföldi lapban
activity recognition
acceleration sensors
heart rate sensor
data acquisition
neural network
Megjelenés:Carpathian Journal of Electronic and Computer Engineering 9 : 2 (2016), p. 18-21. -
További szerzők:Oniga István László (1960-) (villamosmérnök)
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6.

001-es BibID:BIBFORM061764
Első szerző:Orha, Ioan
Cím:Wearable sensors network for activity recognition using inertial sensors / I. Orha, S. Oniga
Dátum:2015
ISSN:1844-9689
Megjegyzések:The aim of this paper is to present the implementation of an activity recognition system based on a data acquisition system with inertial sensors. One of the requirement of data acquisition systems used in human activity recognition is their level of acceptability or their level of obstruction [2, 4].Starting from this important requirement, we designed a fewwearable data acquisition systems using inertial sensors. The ideafrom which we started, takes into account the need to obtainmore complete information about the studied human subject, incomplex activities recognition systems. In our experiment weused inertial sensor built into so called "9DOF inertial module".Our systems contain, on the wearable side, a maximum of threeinertial sensors, a microcontroller module, and a communicationmodule which can be one of the three solutions. For datareception, on the fixed part of the system, we have a communication module corresponding to the one on wearableparts and a microcontroller module connected to a PC through aserial port. For activity recognition, data files are transferred to a PC, and data is processed in Matlab using artificial neuralnetworks as classifier. The networks have been configured according to the number of sensors that acquired data and thenumber of activities that we want to recognize.
Tárgyszavak:Műszaki tudományok Informatikai tudományok idegen nyelvű folyóiratközlemény külföldi lapban
inertial sensors
Data acquisition
Neural network
Activity recognition
Megjelenés:Carpathian Journal of Electronic and Computer Engineering 8 : 2 (2015), p. 3-6. -
További szerzők:Oniga István László (1960-) (villamosmérnök)
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7.

001-es BibID:BIBFORM061765
Első szerző:Orha, Ioan
Cím:Activity recognition using an e-textile data acquisition system / Orha I, Oniga S.
Dátum:2015
Megjegyzések:In our research we have proposed implementation of an activity recognition system based on a data acquisition system with e-textiJe components. One of the most important requirement of data acquisition systems used in human activity recognition is their level of acceptability or their level of obstruction 12, 41. Starting from this important requirement, we designed a wearable data acquisition system using e-textiJe components, in the form of buttons with an attractive aesthetic, easy to integrate in clothing objects of a person. In our experiments the system was built on a cuff which can be easily attached to the hand or foot. Our system contains, on the wearable part, three Lilypad type, e-textile sensors (acceleration on three-axis, light, and temperature), a Lilypad Arduino microcontroller module, and a communication module which consist in a LilyPad XBee module with an XBee ImW Trace Antenna module integrated. For receiving data, on the fixed part of the system, we have an Arduino communication module with an XBee module attached, and an Arduino Uno platformconnected to a PC through a serial port. For activity recognition, data files are transferred to a PC, and data is processed in the Matlab using artificial neural networks as classifier.
ISBN:978-1-5090-0332-7
Tárgyszavak:Műszaki tudományok Informatikai tudományok tanulmány, értekezés
e-Textile
Data acquisition
Neural network
Activity recognition
Megjelenés:2015 IEEE 21st International Symposium for Design and Technology in Electronic Packaging (SIITME), Brasov, Romania, 22-25 October, 2015 / ed. Zsolt Illyefalvi-Vitéz. - p. 335-339. -
További szerzők:Oniga István László (1960-) (villamosmérnök)
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8.

001-es BibID:BIBFORM058178
Első szerző:Orha, Ioan
Cím:Wearable sensors network for health monitoring using e-Health platform / I. Orha, S. Oniga
Dátum:2014
ISSN:1844-9689
Megjegyzések:In this paper we have proposed to present awearable system for automatic recording of the mainphysiological parameters of the human body: body temperature, galvanic skin response, respiration rate, blood pressure, pulse, blood oxygen content, blood glucose content, electrocardiogram(ECG), electromyography(EMG), and patient position. To realizethis system, we have developed a program that can read andautomatically save in a file, the data from specialized sensors.The results can be later interpreted, by comparing them withknown normal values and thus offering the possibility for aprimary health status diagnosis by specialized personnel. Thedata received from the wearable sensors is taken by an interfacecircuit, provided with signal conditioning (filtering,amplification, etc). A microcontroller controls the dataacquisition. In this applications we used an Arduino Unostandard development platform. The data are transferred to aPC, using serial communication port of Arduino platform and acommunications shield. The whole process of health assessment iscommissioned by a program developed by us in the Pythonprogramming language. The program provides automaticrecording of the aforementioned parameters in a predeterminedsequence, or only certain parameters are registered.
Tárgyszavak:Műszaki tudományok Informatikai tudományok idegen nyelvű folyóiratközlemény külföldi lapban
Wearable sensors
Health monitoring
e-Health
Megjelenés:Carpathian Journal of Electronic and Computer Engineering 7 : 1 (2014), p. 25-29. -
További szerzők:Oniga István László (1960-) (villamosmérnök)
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9.

001-es BibID:BIBFORM056400
Első szerző:Orha, Ioan
Cím:Study regarding the optimal sensors placement on the body for human activity recognition / I. Orha, S. Oniga
Dátum:2014
Megjegyzések:In this work we have proposed to make a study of the optimal number of sensors, and their optimal placement on the human body for proper recognition of certain body positions. In our experiment we used three-axis accelerometer sensor built into the intelligent watch Chronos eZ430 product of Texas Instruments. Studying a large part of the published work addressing this issue [1-11], we placed the three sensors as follows: the first on the right hand, the second on the right thigh and the third one, on the chest. The Chronos devices transmit the data collected, wireless, to three access points connected to an Arduino ChipKIT MAX32 microcontroller module. Data are transmitted either to a PC through a serial port, or can be stored on the SD-card. WiFi Shield module provides the ability to connect and communicate through wireless IEEE 802.11 networks with portable equipment (e.g. smart phones, tablets, etc.). The data were imported into Matlab and after processing and analysis, we can draw conclusions on how the three sensors can be used in the activity recognition. To recognize the type of activity we used an artificial neural network modeled in Matlab. This network has been configured according to the number of sensors that acquired data and the number of activities that we want to recognize.
ISBN:978-1-4799-6962-3
Tárgyszavak:Műszaki tudományok Informatikai tudományok tanulmány, értekezés
sensors
data acquisition
neural network
activity recognition
Tárgyak Internete (IoT)
Megjelenés:Proceedings of 2014 IEEE 20th International Symposium for Design and Technology in Electronic Packaging (SIITME) / Eds. Zsolt Illyefalvi-Vitez, Norocel Codreanu. - p. 203-206. -
További szerzők:Oniga István László (1960-) (villamosmérnök)
Pályázati támogatás:TÁMOP-4.2.2.C-11/1/KONV-2012-0001
TÁMOP
Intelligens otthon és időskori életvitel segítése infokommunikációs eszközökkel
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10.

001-es BibID:BIBFORM048799
Első szerző:Orha, Ioan
Cím:Automated system for evaluating health status / I. Orha, S. Oniga
Dátum:2013
Megjegyzések:In this paper we have proposed to present a systemfor automatic recording of the main physiological parameters ofthe human body: body temperature, blood pressure, respiratoryrate, electrocardiogram (ECG), skin resistance, etc. To realizethis system, we have developed a program that can read andautomatically save in a file, the data from specialized sensors.Further it is possible to interpret of the results, by comparingthem with known normal values and thus offering the possibilityfor a primary health status diagnosis by specialized personnel.The data received from the sensors is taken by an interfacecircuit, provided with signal conditioning (filtering,amplification, etc). Data acquisition is controlled by amicrocontroller using an Arduino Uno standard developmentplatform. The data are transferred to a PC, using serialcommunication port of Arduino platform. The whole process ofhealth assessment is commissioned by a new program developedby us in the Python programming language. The programprovides automatic recording of the aforementioned parametersin a predetermined sequence, or if you want only certainparameters are registered.
ISBN:978-1-4799-1555-2
Tárgyszavak:Műszaki tudományok Informatikai tudományok tanulmány, értekezés
health status monitoring
Python
EKG
Tárgyak Internete (IoT)
Megjelenés:Proceedings of the 2013 IEEE 19th International Symposium for Design and Technology in Electronic Packaging. - p. 219-222. -
További szerzők:Oniga István László (1960-) (villamosmérnök)
Pályázati támogatás:TÁMOP-4.2.2.C-11/1/KONV-2012-0001
TÁMOP
Intelligens otthon és időskori életvitel segítése infokommunikációs eszközökkel
Internet cím:Intézményi repozitóriumban (DEA) tárolt változat
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11.

001-es BibID:BIBFORM039433
Első szerző:Orha, Ioan
Cím:Assistance and telepresence robots : a solution for elderly people / Ioan Orha, Stefan Oniga
Dátum:2012
Megjegyzések:This paper presents a study of using telepresence and assistance robots in caring for elderly people. We have presented the requirements for these types of robots and possible application fields. Few models of robots will be presented, analyzing technical requirements of assistance robots and their applications. Hereinafter is presented a robot model being under design and development.
Tárgyszavak:Műszaki tudományok Informatikai tudományok idegen nyelvű folyóiratközlemény külföldi lapban
Elderly care
Assistance robot
Telepresence
Fizikai-, Számítás- és Anyagtudomány
Megjelenés:Carpathian Journal of Electronic and Computer Engineering 5 : 1 (2012), p. 89-90. -
További szerzők:Oniga István László (1960-) (villamosmérnök)
Pályázati támogatás:TÁMOP-4.2.1/B-09/1/KONV-2010-0007
TÁMOP
Új generációs hálózatok és számítási alkalmazások fejlesztése
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12.

001-es BibID:BIBFORM038645
Első szerző:Orha, Ioan
Cím:Current Distortions Compensation Method for Frequency Converters / Orha Ioan, Oniga Stefan
Dátum:2012
Megjegyzések:This paper present a study of the effects of frequency converters to the power grid and a possible solution for current distortions compensation. Experimentalmeasurements made, at different points of the grid, with the device Fluke 434 to a converter which supplies a 110 kWasynchronous motor, reveal the distortions of current.Harmonics content of current for the three phases and THDdistortion factor emphasize the existence of strong distortions of current. Current compensation method, proposed and simulated, consists in collecting a sample of non-sinusoidal current from the inverter input resistance or using a current transformer, which will be decreased from a sinusoidal reference signal. This difference is amplified and synchronized, so that it can be injected back into the grid. Simulations above described method are made in Matlab-Simulink Power Systems.
ISBN:978-1-4673-4760-0
Tárgyszavak:Műszaki tudományok Villamosmérnöki tudományok tanulmány, értekezés
Assistive technology
Android
Arduino
Robot
Megjelenés:Design and Technology in Electronic Packaging (SIITME), 2012 18-th IEEE International Symposium for. - p. 105-109. -
További szerzők:Oniga István László (1960-) (villamosmérnök)
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