EMG control of a pneumatic 5-fingered hand using a Petri net
Abstract This article presents the control method for a 5-fingered artificial hand using electromyography (EMG) signals. Our targeted artificial hand is driven by pneumatic actuators to reduce its weight, and we use ON/OFF solenoid valves instead of electro pneumatic regulators to simplify the contr...
Ausführliche Beschreibung
Autor*in: |
Fukuda, Osamu [verfasserIn] |
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Format: |
Artikel |
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Sprache: |
Englisch |
Erschienen: |
2011 |
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Anmerkung: |
© International Symposium on Artificial Life and Robotics (ISAROB). 2011 |
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Übergeordnetes Werk: |
Enthalten in: Artificial life and robotics - Springer Japan, 1997, 16(2011), 1 vom: Juni, Seite 90-93 |
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Übergeordnetes Werk: |
volume:16 ; year:2011 ; number:1 ; month:06 ; pages:90-93 |
Links: |
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DOI / URN: |
10.1007/s10015-011-0894-z |
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OLC2051536104 |
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10.1007/s10015-011-0894-z doi (DE-627)OLC2051536104 (DE-He213)s10015-011-0894-z-p DE-627 ger DE-627 rakwb eng 004 VZ Fukuda, Osamu verfasserin aut EMG control of a pneumatic 5-fingered hand using a Petri net 2011 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © International Symposium on Artificial Life and Robotics (ISAROB). 2011 Abstract This article presents the control method for a 5-fingered artificial hand using electromyography (EMG) signals. Our targeted artificial hand is driven by pneumatic actuators to reduce its weight, and we use ON/OFF solenoid valves instead of electro pneumatic regulators to simplify the control system. The pneumatic hand has 15 degrees of freedom, and it seems difficult to reproduce all the finger motions from the EMG signals only. Therefore, we describe typical hand motions using a Petri net, and control the finger motions efficiently based on this model. Each state of the Petri net indicates one step in the hand posture to complete the intended motion. Simultaneously, this state corresponds to the ON/OFF pattern of the 15 solenoid valves. This enables the operator to control the 5-fingered dexterous hand smoothly, transiting the state in the Petri net according to the EMG motion signals. We conducted an experiment to verify the validity of the proposed method. In the experiment, five typical motions (spherical grasp, power grip, hook grip, key grip, precision grip) were successfully performed using the 6-channel EMG signals measured from the operator’s forearm. Kim, Jonghwan aut Nakai, Isao aut Ichikawa, Yasunori aut Enthalten in Artificial life and robotics Springer Japan, 1997 16(2011), 1 vom: Juni, Seite 90-93 (DE-627)240152476 (DE-600)1413537-1 (DE-576)065025393 1433-5298 nnns volume:16 year:2011 number:1 month:06 pages:90-93 https://doi.org/10.1007/s10015-011-0894-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_70 GBV_ILN_2006 GBV_ILN_4322 AR 16 2011 1 06 90-93 |
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10.1007/s10015-011-0894-z doi (DE-627)OLC2051536104 (DE-He213)s10015-011-0894-z-p DE-627 ger DE-627 rakwb eng 004 VZ Fukuda, Osamu verfasserin aut EMG control of a pneumatic 5-fingered hand using a Petri net 2011 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © International Symposium on Artificial Life and Robotics (ISAROB). 2011 Abstract This article presents the control method for a 5-fingered artificial hand using electromyography (EMG) signals. Our targeted artificial hand is driven by pneumatic actuators to reduce its weight, and we use ON/OFF solenoid valves instead of electro pneumatic regulators to simplify the control system. The pneumatic hand has 15 degrees of freedom, and it seems difficult to reproduce all the finger motions from the EMG signals only. Therefore, we describe typical hand motions using a Petri net, and control the finger motions efficiently based on this model. Each state of the Petri net indicates one step in the hand posture to complete the intended motion. Simultaneously, this state corresponds to the ON/OFF pattern of the 15 solenoid valves. This enables the operator to control the 5-fingered dexterous hand smoothly, transiting the state in the Petri net according to the EMG motion signals. We conducted an experiment to verify the validity of the proposed method. In the experiment, five typical motions (spherical grasp, power grip, hook grip, key grip, precision grip) were successfully performed using the 6-channel EMG signals measured from the operator’s forearm. Kim, Jonghwan aut Nakai, Isao aut Ichikawa, Yasunori aut Enthalten in Artificial life and robotics Springer Japan, 1997 16(2011), 1 vom: Juni, Seite 90-93 (DE-627)240152476 (DE-600)1413537-1 (DE-576)065025393 1433-5298 nnns volume:16 year:2011 number:1 month:06 pages:90-93 https://doi.org/10.1007/s10015-011-0894-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_70 GBV_ILN_2006 GBV_ILN_4322 AR 16 2011 1 06 90-93 |
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10.1007/s10015-011-0894-z doi (DE-627)OLC2051536104 (DE-He213)s10015-011-0894-z-p DE-627 ger DE-627 rakwb eng 004 VZ Fukuda, Osamu verfasserin aut EMG control of a pneumatic 5-fingered hand using a Petri net 2011 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © International Symposium on Artificial Life and Robotics (ISAROB). 2011 Abstract This article presents the control method for a 5-fingered artificial hand using electromyography (EMG) signals. Our targeted artificial hand is driven by pneumatic actuators to reduce its weight, and we use ON/OFF solenoid valves instead of electro pneumatic regulators to simplify the control system. The pneumatic hand has 15 degrees of freedom, and it seems difficult to reproduce all the finger motions from the EMG signals only. Therefore, we describe typical hand motions using a Petri net, and control the finger motions efficiently based on this model. Each state of the Petri net indicates one step in the hand posture to complete the intended motion. Simultaneously, this state corresponds to the ON/OFF pattern of the 15 solenoid valves. This enables the operator to control the 5-fingered dexterous hand smoothly, transiting the state in the Petri net according to the EMG motion signals. We conducted an experiment to verify the validity of the proposed method. In the experiment, five typical motions (spherical grasp, power grip, hook grip, key grip, precision grip) were successfully performed using the 6-channel EMG signals measured from the operator’s forearm. Kim, Jonghwan aut Nakai, Isao aut Ichikawa, Yasunori aut Enthalten in Artificial life and robotics Springer Japan, 1997 16(2011), 1 vom: Juni, Seite 90-93 (DE-627)240152476 (DE-600)1413537-1 (DE-576)065025393 1433-5298 nnns volume:16 year:2011 number:1 month:06 pages:90-93 https://doi.org/10.1007/s10015-011-0894-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_70 GBV_ILN_2006 GBV_ILN_4322 AR 16 2011 1 06 90-93 |
allfieldsGer |
10.1007/s10015-011-0894-z doi (DE-627)OLC2051536104 (DE-He213)s10015-011-0894-z-p DE-627 ger DE-627 rakwb eng 004 VZ Fukuda, Osamu verfasserin aut EMG control of a pneumatic 5-fingered hand using a Petri net 2011 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © International Symposium on Artificial Life and Robotics (ISAROB). 2011 Abstract This article presents the control method for a 5-fingered artificial hand using electromyography (EMG) signals. Our targeted artificial hand is driven by pneumatic actuators to reduce its weight, and we use ON/OFF solenoid valves instead of electro pneumatic regulators to simplify the control system. The pneumatic hand has 15 degrees of freedom, and it seems difficult to reproduce all the finger motions from the EMG signals only. Therefore, we describe typical hand motions using a Petri net, and control the finger motions efficiently based on this model. Each state of the Petri net indicates one step in the hand posture to complete the intended motion. Simultaneously, this state corresponds to the ON/OFF pattern of the 15 solenoid valves. This enables the operator to control the 5-fingered dexterous hand smoothly, transiting the state in the Petri net according to the EMG motion signals. We conducted an experiment to verify the validity of the proposed method. In the experiment, five typical motions (spherical grasp, power grip, hook grip, key grip, precision grip) were successfully performed using the 6-channel EMG signals measured from the operator’s forearm. Kim, Jonghwan aut Nakai, Isao aut Ichikawa, Yasunori aut Enthalten in Artificial life and robotics Springer Japan, 1997 16(2011), 1 vom: Juni, Seite 90-93 (DE-627)240152476 (DE-600)1413537-1 (DE-576)065025393 1433-5298 nnns volume:16 year:2011 number:1 month:06 pages:90-93 https://doi.org/10.1007/s10015-011-0894-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_70 GBV_ILN_2006 GBV_ILN_4322 AR 16 2011 1 06 90-93 |
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10.1007/s10015-011-0894-z doi (DE-627)OLC2051536104 (DE-He213)s10015-011-0894-z-p DE-627 ger DE-627 rakwb eng 004 VZ Fukuda, Osamu verfasserin aut EMG control of a pneumatic 5-fingered hand using a Petri net 2011 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © International Symposium on Artificial Life and Robotics (ISAROB). 2011 Abstract This article presents the control method for a 5-fingered artificial hand using electromyography (EMG) signals. Our targeted artificial hand is driven by pneumatic actuators to reduce its weight, and we use ON/OFF solenoid valves instead of electro pneumatic regulators to simplify the control system. The pneumatic hand has 15 degrees of freedom, and it seems difficult to reproduce all the finger motions from the EMG signals only. Therefore, we describe typical hand motions using a Petri net, and control the finger motions efficiently based on this model. Each state of the Petri net indicates one step in the hand posture to complete the intended motion. Simultaneously, this state corresponds to the ON/OFF pattern of the 15 solenoid valves. This enables the operator to control the 5-fingered dexterous hand smoothly, transiting the state in the Petri net according to the EMG motion signals. We conducted an experiment to verify the validity of the proposed method. In the experiment, five typical motions (spherical grasp, power grip, hook grip, key grip, precision grip) were successfully performed using the 6-channel EMG signals measured from the operator’s forearm. Kim, Jonghwan aut Nakai, Isao aut Ichikawa, Yasunori aut Enthalten in Artificial life and robotics Springer Japan, 1997 16(2011), 1 vom: Juni, Seite 90-93 (DE-627)240152476 (DE-600)1413537-1 (DE-576)065025393 1433-5298 nnns volume:16 year:2011 number:1 month:06 pages:90-93 https://doi.org/10.1007/s10015-011-0894-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_70 GBV_ILN_2006 GBV_ILN_4322 AR 16 2011 1 06 90-93 |
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Abstract This article presents the control method for a 5-fingered artificial hand using electromyography (EMG) signals. Our targeted artificial hand is driven by pneumatic actuators to reduce its weight, and we use ON/OFF solenoid valves instead of electro pneumatic regulators to simplify the control system. The pneumatic hand has 15 degrees of freedom, and it seems difficult to reproduce all the finger motions from the EMG signals only. Therefore, we describe typical hand motions using a Petri net, and control the finger motions efficiently based on this model. Each state of the Petri net indicates one step in the hand posture to complete the intended motion. Simultaneously, this state corresponds to the ON/OFF pattern of the 15 solenoid valves. This enables the operator to control the 5-fingered dexterous hand smoothly, transiting the state in the Petri net according to the EMG motion signals. We conducted an experiment to verify the validity of the proposed method. In the experiment, five typical motions (spherical grasp, power grip, hook grip, key grip, precision grip) were successfully performed using the 6-channel EMG signals measured from the operator’s forearm. © International Symposium on Artificial Life and Robotics (ISAROB). 2011 |
abstractGer |
Abstract This article presents the control method for a 5-fingered artificial hand using electromyography (EMG) signals. Our targeted artificial hand is driven by pneumatic actuators to reduce its weight, and we use ON/OFF solenoid valves instead of electro pneumatic regulators to simplify the control system. The pneumatic hand has 15 degrees of freedom, and it seems difficult to reproduce all the finger motions from the EMG signals only. Therefore, we describe typical hand motions using a Petri net, and control the finger motions efficiently based on this model. Each state of the Petri net indicates one step in the hand posture to complete the intended motion. Simultaneously, this state corresponds to the ON/OFF pattern of the 15 solenoid valves. This enables the operator to control the 5-fingered dexterous hand smoothly, transiting the state in the Petri net according to the EMG motion signals. We conducted an experiment to verify the validity of the proposed method. In the experiment, five typical motions (spherical grasp, power grip, hook grip, key grip, precision grip) were successfully performed using the 6-channel EMG signals measured from the operator’s forearm. © International Symposium on Artificial Life and Robotics (ISAROB). 2011 |
abstract_unstemmed |
Abstract This article presents the control method for a 5-fingered artificial hand using electromyography (EMG) signals. Our targeted artificial hand is driven by pneumatic actuators to reduce its weight, and we use ON/OFF solenoid valves instead of electro pneumatic regulators to simplify the control system. The pneumatic hand has 15 degrees of freedom, and it seems difficult to reproduce all the finger motions from the EMG signals only. Therefore, we describe typical hand motions using a Petri net, and control the finger motions efficiently based on this model. Each state of the Petri net indicates one step in the hand posture to complete the intended motion. Simultaneously, this state corresponds to the ON/OFF pattern of the 15 solenoid valves. This enables the operator to control the 5-fingered dexterous hand smoothly, transiting the state in the Petri net according to the EMG motion signals. We conducted an experiment to verify the validity of the proposed method. In the experiment, five typical motions (spherical grasp, power grip, hook grip, key grip, precision grip) were successfully performed using the 6-channel EMG signals measured from the operator’s forearm. © International Symposium on Artificial Life and Robotics (ISAROB). 2011 |
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container_issue |
1 |
title_short |
EMG control of a pneumatic 5-fingered hand using a Petri net |
url |
https://doi.org/10.1007/s10015-011-0894-z |
remote_bool |
false |
author2 |
Kim, Jonghwan Nakai, Isao Ichikawa, Yasunori |
author2Str |
Kim, Jonghwan Nakai, Isao Ichikawa, Yasunori |
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240152476 |
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hochschulschrift_bool |
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doi_str |
10.1007/s10015-011-0894-z |
up_date |
2024-07-04T04:40:41.963Z |
_version_ |
1803622067162054656 |
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