Inductive transfer assist-control for human-interface steering device

Rui C S Antunes; Luis Brito Palma; Fernando José Almeida Vieira do Coito; Hermínio Duarte-Ramos

doi:10.1109/EAIS.2015.7368795

Inductive transfer assist-control for human-interface steering device

Rui C S Antunes, Luis Brito Palma, Fernando José Almeida Vieira do Coito, Hermínio Duarte-Ramos

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

Human Adaptive Mechatronics (HAM) is the research area that covers the design for assisting the human operator in improving its skills. HAM devices are capable to measure/estimate the operator's skill/dexterity, while a realtime embedded assist-controller enhances machine operation, improving the overall human-machine performance. Nowadays, the demand for such devices has particular potential in many activities which involve manual operations. The main contribution of this work is the development of a human adaptive real-time electronic switching controller obtained from a fuzzy clustering inductive learning technique, for improving the operator's proficiency, based on the transfer learning information of an expert driver. Several tests were conducted under a hardware/software driving simulator setup, to prove the effectiveness of the proposed methodology.

Original language	English
Title of host publication	2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS)
Place of Publication	New York
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
ISBN (Electronic)	978-146736697-7
DOIs	https://doi.org/10.1109/EAIS.2015.7368795
Publication status	Published - 29 Dec 2015
Event	IEEE International Conference on Evolving and Adaptive Intelligent Systems, EAIS 2015 - Douai, France Duration: 1 Dec 2015 → 3 Dec 2015

Conference

Conference	IEEE International Conference on Evolving and Adaptive Intelligent Systems, EAIS 2015
Country/Territory	France
City	Douai
Period	1/12/15 → 3/12/15

Keywords

embedded assist-control
human adaptive mechatronics
human-machine interface
skill analysis
transfer learning

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10.1109/EAIS.2015.7368795Licence: Unspecified

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title = "Inductive transfer assist-control for human-interface steering device",

abstract = "Human Adaptive Mechatronics (HAM) is the research area that covers the design for assisting the human operator in improving its skills. HAM devices are capable to measure/estimate the operator's skill/dexterity, while a realtime embedded assist-controller enhances machine operation, improving the overall human-machine performance. Nowadays, the demand for such devices has particular potential in many activities which involve manual operations. The main contribution of this work is the development of a human adaptive real-time electronic switching controller obtained from a fuzzy clustering inductive learning technique, for improving the operator's proficiency, based on the transfer learning information of an expert driver. Several tests were conducted under a hardware/software driving simulator setup, to prove the effectiveness of the proposed methodology.",

keywords = "embedded assist-control, human adaptive mechatronics, human-machine interface, skill analysis, transfer learning",

author = "Antunes, \{Rui C S\} and Palma, \{Luis Brito\} and Coito, \{Fernando Jos{\'e} Almeida Vieira do\} and Herm{\'i}nio Duarte-Ramos",

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doi = "10.1109/EAIS.2015.7368795",

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booktitle = "2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS)",

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Antunes, RCS, Palma, LB , Coito, FJAVD & Duarte-Ramos, H 2015, Inductive transfer assist-control for human-interface steering device. in 2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS)., 7368795, Institute of Electrical and Electronics Engineers (IEEE), New York, IEEE International Conference on Evolving and Adaptive Intelligent Systems, EAIS 2015, Douai, France, 1/12/15. https://doi.org/10.1109/EAIS.2015.7368795

Inductive transfer assist-control for human-interface steering device. / Antunes, Rui C S; Palma, Luis Brito ; Coito, Fernando José Almeida Vieira do et al.
2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS). New York: Institute of Electrical and Electronics Engineers (IEEE), 2015. 7368795.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Inductive transfer assist-control for human-interface steering device

AU - Antunes, Rui C S

AU - Palma, Luis Brito

AU - Coito, Fernando José Almeida Vieira do

AU - Duarte-Ramos, Hermínio

N1 - Sem PDF conforme Despacho.

PY - 2015/12/29

Y1 - 2015/12/29

N2 - Human Adaptive Mechatronics (HAM) is the research area that covers the design for assisting the human operator in improving its skills. HAM devices are capable to measure/estimate the operator's skill/dexterity, while a realtime embedded assist-controller enhances machine operation, improving the overall human-machine performance. Nowadays, the demand for such devices has particular potential in many activities which involve manual operations. The main contribution of this work is the development of a human adaptive real-time electronic switching controller obtained from a fuzzy clustering inductive learning technique, for improving the operator's proficiency, based on the transfer learning information of an expert driver. Several tests were conducted under a hardware/software driving simulator setup, to prove the effectiveness of the proposed methodology.

AB - Human Adaptive Mechatronics (HAM) is the research area that covers the design for assisting the human operator in improving its skills. HAM devices are capable to measure/estimate the operator's skill/dexterity, while a realtime embedded assist-controller enhances machine operation, improving the overall human-machine performance. Nowadays, the demand for such devices has particular potential in many activities which involve manual operations. The main contribution of this work is the development of a human adaptive real-time electronic switching controller obtained from a fuzzy clustering inductive learning technique, for improving the operator's proficiency, based on the transfer learning information of an expert driver. Several tests were conducted under a hardware/software driving simulator setup, to prove the effectiveness of the proposed methodology.

KW - embedded assist-control

KW - human adaptive mechatronics

KW - human-machine interface

KW - skill analysis

KW - transfer learning

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U2 - 10.1109/EAIS.2015.7368795

DO - 10.1109/EAIS.2015.7368795

M3 - Conference contribution

AN - SCOPUS:84964091570

BT - 2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS)

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - New York

T2 - IEEE International Conference on Evolving and Adaptive Intelligent Systems, EAIS 2015

Y2 - 1 December 2015 through 3 December 2015

ER -

Inductive transfer assist-control for human-interface steering device

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Keywords

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