TY - JOUR AU - Fejér, Attila AU - Nagy, Zoltán AU - Benois-Pineau, Jenny AU - Szolgay, Péter AU - de Rugy, Aymar AU - Domenger, Jean-Philippe TI - Hybrid FPGA–CPU-Based Architecture for Object Recognition in Visual Servoing of Arm Prosthesis JF - JOURNAL OF IMAGING J2 - J IMAGING VL - 8 PY - 2022 IS - 2 SP - 44 SN - 2313-433X DO - 10.3390/jimaging8020044 UR - https://m2.mtmt.hu/api/publication/32675175 ID - 32675175 N1 - Funding Agency and Grant Number: Thematic Excellence Programme 2019 grant [TUDFO/51757-1/2019-ITM]; LABRI UMR CNRS 5800 grant Funding text: This research was funded by Thematic Excellence Programme 2019 grant number TUDFO/51757-1/2019-ITM and LABRI UMR CNRS 5800 grant. LA - English DB - MTMT ER - TY - CHAP AU - Fejér, Attila AU - Nagy, Zoltán AU - Benois-Pineau, Jenny AU - Szolgay, Péter AU - de Rugy, Aymar AU - Domenger, Jean-Philippe TI - Array computing based system for visual servoing of neuroprosthesis of upper limbs T2 - 2021 17th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA) PB - IEEE CY - Piscataway (NJ) SN - 9781665439480 PY - 2021 SP - 1 EP - 5 PG - 5 DO - 10.1109/CNNA49188.2021.9610783 UR - https://m2.mtmt.hu/api/publication/32593151 ID - 32593151 LA - English DB - MTMT ER - TY - CHAP AU - Sántha, Levente Márk AU - Nagy, Zoltán AU - Kiss, András AU - Csaba, György TI - Comparing Different PC and FPGA Implementation Possibilities of Fast Multipole Method T2 - 2021 17th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA) PB - IEEE CY - Piscataway (NJ) SN - 9781665439480 PY - 2021 SP - 1 EP - 4 PG - 4 DO - 10.1109/CNNA49188.2021.9610776 UR - https://m2.mtmt.hu/api/publication/32583695 ID - 32583695 LA - English DB - MTMT ER - TY - JOUR AU - Fejér, Attila AU - Nagy, Zoltán AU - Benois‐Pineau, Jenny AU - Szolgay, Péter AU - Rugy, Aymar AU - Domenger, Jean‐Philippe TI - Implementation of Scale Invariant Feature Transform detector on FPGA for low‐power wearable devices for prostheses control JF - INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS J2 - INT J CIRC THEOR APP VL - 2021 PY - 2021 SN - 0098-9886 DO - 10.1002/cta.3025 UR - https://m2.mtmt.hu/api/publication/32021068 ID - 32021068 LA - English DB - MTMT ER - TY - JOUR AU - Schäffer, László AU - Nagy, Zoltán AU - Kincses, Zoltán AU - Fiáth, Richárd AU - Ulbert, István TI - Spatial information based OSort for real-time spike sorting using FPGA JF - IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING J2 - IEEE T BIO-MED ENG VL - 68 PY - 2021 IS - 1 SP - 99 EP - 108 PG - 1 SN - 0018-9294 DO - 10.1109/TBME.2020.2996281 UR - https://m2.mtmt.hu/api/publication/31328312 ID - 31328312 N1 - Faculty of Science and Informatics, University of Szeged, Hungary Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, H-1083, Hungary Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Hungary Cited By :1 Export Date: 23 February 2021 CODEN: IEBEA Correspondence Address: Nagy, Z.; Faculty of Information Technology and Bionics, Hungary; email: nagy.zoltan@itk.ppke.hu Funding Agency and Grant Number: Hungarian Brain Research Program [KTIA_13_NAP-A-I/1, KTIA-13-NAP-A-IV/1-4,6, 2017-1.2.1-NKP-2017-00002]; Hungarian National Research, Development and Innovation Office [PD124175]; European UnionEuropean Commission [VEKOP-2.3.2-16-2017-00013]; State of Hungary [VEKOP-2.3.2-16-2017-00013]; European Regional Development FundEuropean Commission [VEKOP-2.3.2-16-2017-00013]; Ministry of Human Capacities, Hungary [20391-3/2018/FEKUSTRAT] Funding text: This work was supported by the Hungarian Brain Research Program under Grants KTIA_13_NAP-A-I/1, KTIA-13-NAP-A-IV/1-4,6 and 2017-1.2.1-NKP-2017-00002. The work of Richard Fiath was supported by Hungarian National Research, Development and Innovation Office (postdoctoral excellence Programme, PD124175, Thematic Excellence Programme 2019). The work of Istvan Ulbert within project No. VEKOP-2.3.2-16-2017-00013 was supported by the European Union and the State of Hungary, co-financed by the European Regional Development Fund. Ministry of Human Capacities, Hungary under Grant 20391-3/2018/FEKUSTRAT is acknowledged. Faculty of Science and Informatics, University of Szeged, Hungary Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, H-1083, Hungary Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Hungary Cited By :1 Export Date: 13 September 2021 CODEN: IEBEA Correspondence Address: Nagy, Z.; Faculty of Information Technology and Bionics, Hungary; email: nagy.zoltan@itk.ppke.hu LA - English DB - MTMT ER - TY - CHAP AU - Khozama, Sam AU - Nagy, Zoltán AU - Gáspári, Zoltán ED - Birgit, Gersbeck-Schierholz TI - Accelerating Charged Single alpha-helix Detection on FPGA T2 - BIOTECHNO 2020, The Twelfth International Conference on Bioinformatics, Biocomputational Systems and Biotechnologies PB - International Academy, Research and Industry Association (IARIA) CY - Hannover PY - 2020 SP - 16 EP - 19 PG - 4 UR - https://m2.mtmt.hu/api/publication/31895917 ID - 31895917 LA - English DB - MTMT ER - TY - CHAP AU - Kota, Fulop AU - Zsedrovits, Tamás AU - Nagy, Zoltán ED - IEEE, . TI - Sense-and-avoid system development on an FPGA T2 - 2019 INTERNATIONAL CONFERENCE ON UNMANNED AIRCRAFT SYSTEMS (ICUAS’ 19) PB - IEEE CY - Piscataway (NJ) PY - 2019 SP - 575 EP - 579 PG - 5 DO - 10.1109/ICUAS.2019.8798265 UR - https://m2.mtmt.hu/api/publication/31157504 ID - 31157504 N1 - ISSN:2373-6720 AB - In this paper, the first steps of development towards a collision avoidance system for UAV are introduced. The system is based on camera sensors controlled by an FPGA SoC, running an image processing algorithm, controlling a quadcopter to avoid mid-air collisions with other aircraft. The algorithm was already tested in a real mid-air close encounter scenario between two UAVs, but in that scenario, the implementation platform was a GPU-based SoC which had serious limitations concerning processing frame rate and power consumption. Our aim is to realize the same algorithm with higher framerate and lower power consumption. The paper introduces fundamental considerations for the selection of tools used during this process. LA - English DB - MTMT ER - TY - BOOK AU - Fejér, Attila AU - Nagy, Zoltán AU - J., Benois-Pineau AU - Szolgay, Péter AU - A, de Rugy AU - J. P., Domenger TI - FPGA-based SIFT implementation PY - 2019 UR - https://m2.mtmt.hu/api/publication/31041050 ID - 31041050 LA - English DB - MTMT ER - TY - JOUR AU - Fejér, Attila AU - Nagy, Zoltán AU - Jenny, Benois-Pineau AU - Szolgay, Péter AU - Aymar, de Rugy AU - Jean-Philippe, Domenger TI - A comparison of different SIFT implementation for vision-guides prosthetic arms JF - JEDLIK LABORATORIES REPORTS J2 - JEDLIK LABOR REP VL - 7 PY - 2019 IS - 2 SP - 19 EP - 20 PG - 2 SN - 2064-3942 UR - https://m2.mtmt.hu/api/publication/31040679 ID - 31040679 LA - English DB - MTMT ER - TY - CHAP AU - Fejér, Attila AU - Nagy, Zoltán AU - Benois-Pineau, Jenny AU - Szolgay, Péter AU - de Rugy, Aymar AU - Domenger, Jean-Philippe ED - IEEE, , TI - FPGA-based SIFT implementation for wearable computing T2 - 2019 IEEE 22nd International Symposium on Design and Diagnostics of Electronic Circuits & Systems (DDECS) PB - IEEE CY - Piscataway (NJ) SN - 9781728100739 PY - 2019 SP - 1 EP - 4 PG - 4 DO - 10.1109/DDECS.2019.8724653 UR - https://m2.mtmt.hu/api/publication/31039147 ID - 31039147 AB - The article describes the first steps to achieve control over a robotic or prosthetic arm based on analysis of visual environment acquired in real-time by video cameras on glasses and on the prosthesis. One of the main goals of the research is to develop a wearable, portable, lightweight, and low power consumption device for visual scene analysis. This paper will discuss the critical steps of its implementation on an FPGA board. We implemented some time-consuming parts of the SIFT algorithm needed for the analysis in C/C++ language on TUL PYNQ-Z2 FPGA board. This implementation allows for a low power consumption of the programmable logic part of the system. The obtained value is 0.274W. Processing capacity is 96.45 images per second on a small wearable size device which allow for the real-time implementation of the whole analysis in the future. LA - English DB - MTMT ER -