An Evolvable Hardware Chip for a Prosthetic-Hand Controller--New Reconfigurable Hardware Paradigm--
Summary :
This paper presents a new reconfigurable hardware paradigm, called evolvable hardware (EHW), and its application to the biomedical engineering problem of an artificial hand controller. Evolvable hardware is based on the idea of combining a reconfigurable hardware device with an artificial intelligence robust search technique called genetic algorithms (GAs) to execute reconfiguration autonomously. The first version of the EHW chip was designed in 1998, and this paper describes the latest improvements to the EHW chip, as well as outlining its architecture and the hardware implementation of the GA operations. Execution speed for genetic operations is shown to be about 38.7 times faster with the hardware implementation than with software program running on an AMD Athlon processor (1.2GHz). As an application of the EHW chip, this paper introduces a controller for a multi-functional prosthetic-hand, and presents experimental data in which a practical myoelectric pattern classification rate of 97.8% was achieved through the application of the EHW chip.
- Publication
- IEICE TRANSACTIONS on Information Vol.E86-D No.5 pp.882-890
- Publication Date
- 2003/05/01
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- Special Section PAPER (Special Issue on Reconfigurable Computing)
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Isamu KAJITANI, Masaya IWATA, Nobuyuki OTSU, Tetsuya HIGUCHI, "An Evolvable Hardware Chip for a Prosthetic-Hand Controller--New Reconfigurable Hardware Paradigm--" in IEICE TRANSACTIONS on Information,
vol. E86-D, no. 5, pp. 882-890, May 2003, doi: .
Abstract: This paper presents a new reconfigurable hardware paradigm, called evolvable hardware (EHW), and its application to the biomedical engineering problem of an artificial hand controller. Evolvable hardware is based on the idea of combining a reconfigurable hardware device with an artificial intelligence robust search technique called genetic algorithms (GAs) to execute reconfiguration autonomously. The first version of the EHW chip was designed in 1998, and this paper describes the latest improvements to the EHW chip, as well as outlining its architecture and the hardware implementation of the GA operations. Execution speed for genetic operations is shown to be about 38.7 times faster with the hardware implementation than with software program running on an AMD Athlon processor (1.2GHz). As an application of the EHW chip, this paper introduces a controller for a multi-functional prosthetic-hand, and presents experimental data in which a practical myoelectric pattern classification rate of 97.8% was achieved through the application of the EHW chip.
URL: https://global.ieice.org/en_transactions/information/10.1587/e86-d_5_882/_p
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@ARTICLE{e86-d_5_882,
author={Isamu KAJITANI, Masaya IWATA, Nobuyuki OTSU, Tetsuya HIGUCHI, },
journal={IEICE TRANSACTIONS on Information},
title={An Evolvable Hardware Chip for a Prosthetic-Hand Controller--New Reconfigurable Hardware Paradigm--},
year={2003},
volume={E86-D},
number={5},
pages={882-890},
abstract={This paper presents a new reconfigurable hardware paradigm, called evolvable hardware (EHW), and its application to the biomedical engineering problem of an artificial hand controller. Evolvable hardware is based on the idea of combining a reconfigurable hardware device with an artificial intelligence robust search technique called genetic algorithms (GAs) to execute reconfiguration autonomously. The first version of the EHW chip was designed in 1998, and this paper describes the latest improvements to the EHW chip, as well as outlining its architecture and the hardware implementation of the GA operations. Execution speed for genetic operations is shown to be about 38.7 times faster with the hardware implementation than with software program running on an AMD Athlon processor (1.2GHz). As an application of the EHW chip, this paper introduces a controller for a multi-functional prosthetic-hand, and presents experimental data in which a practical myoelectric pattern classification rate of 97.8% was achieved through the application of the EHW chip.},
keywords={},
doi={},
ISSN={},
month={May},}
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TY - JOUR
TI - An Evolvable Hardware Chip for a Prosthetic-Hand Controller--New Reconfigurable Hardware Paradigm--
T2 - IEICE TRANSACTIONS on Information
SP - 882
EP - 890
AU - Isamu KAJITANI
AU - Masaya IWATA
AU - Nobuyuki OTSU
AU - Tetsuya HIGUCHI
PY - 2003
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E86-D
IS - 5
JA - IEICE TRANSACTIONS on Information
Y1 - May 2003
AB - This paper presents a new reconfigurable hardware paradigm, called evolvable hardware (EHW), and its application to the biomedical engineering problem of an artificial hand controller. Evolvable hardware is based on the idea of combining a reconfigurable hardware device with an artificial intelligence robust search technique called genetic algorithms (GAs) to execute reconfiguration autonomously. The first version of the EHW chip was designed in 1998, and this paper describes the latest improvements to the EHW chip, as well as outlining its architecture and the hardware implementation of the GA operations. Execution speed for genetic operations is shown to be about 38.7 times faster with the hardware implementation than with software program running on an AMD Athlon processor (1.2GHz). As an application of the EHW chip, this paper introduces a controller for a multi-functional prosthetic-hand, and presents experimental data in which a practical myoelectric pattern classification rate of 97.8% was achieved through the application of the EHW chip.
ER -
English
