Performance analysis of HMI system based on PCA

Rui M. Antunes; Luís Filipe Figueira de Brito Palma; Fernando José Almeida Vieira do Coito; Hermínio Duarte-Ramos

doi:10.1109/HSI.2014.6860459

Performance analysis of HMI system based on PCA

Rui M. Antunes, Luís Filipe Figueira de Brito Palma, Fernando José Almeida Vieira do Coito, Hermínio Duarte-Ramos

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

1 Citation (Scopus)

Abstract

This work proposes a performance analysis method based on Principal Component Analysis (PCA) for the skill quantification during several pursuit manual tracking tasks, which may occur in human-machine manual operations such as piloting, driving and navigation. A set of increased difficulty tracking experiments was made and analyzed using an 8-bit analog joystick human-machine interface (HMI). This PCA methodology based on the projections of the observation data which optimally captures the data variations, has confirmed to differentiate better the computed human-machine performance of the common operator/task, and can be used as a precision skill observer for a human machine assist-controller electronic device.

Original language	English
Title of host publication	Conference on Human System Interaction
Pages	118-122
ISBN (Electronic)	978-1-4799-4714-0
DOIs	https://doi.org/10.1109/HSI.2014.6860459
Publication status	Published - 2014
Event	7TH INTERNATIONAL CONFERENCE ON HUMAN SYSTEM INTERACTIONS (HSI) - Duration: 1 Jan 2014 → …

Conference

Conference	7TH INTERNATIONAL CONFERENCE ON HUMAN SYSTEM INTERACTIONS (HSI)
Period	1/01/14 → …

Keywords

human-machine interface systems
manual pursuit tracking
principal component analysis
skill analysis

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10.1109/HSI.2014.6860459

Cite this

@inproceedings{e7eb4c0b54f64cca87e78c6f31590559,

title = "Performance analysis of HMI system based on PCA",

abstract = "This work proposes a performance analysis method based on Principal Component Analysis (PCA) for the skill quantification during several pursuit manual tracking tasks, which may occur in human-machine manual operations such as piloting, driving and navigation. A set of increased difficulty tracking experiments was made and analyzed using an 8-bit analog joystick human-machine interface (HMI). This PCA methodology based on the projections of the observation data which optimally captures the data variations, has confirmed to differentiate better the computed human-machine performance of the common operator/task, and can be used as a precision skill observer for a human machine assist-controller electronic device.",

keywords = "Skill analysis, Human-machine interface systems, Manual pursuit tracking, Principal component analysis, human-machine interface systems, manual pursuit tracking, principal component analysis, skill analysis",

author = "Antunes, {Rui M.} and Palma, {Lu{\'i}s Filipe Figueira de Brito} and Coito, {Fernando Jos{\'e} Almeida Vieira do} and Herm{\'i}nio Duarte-Ramos",

year = "2014",

doi = "10.1109/HSI.2014.6860459",

language = "English",

isbn = "978-1-4799-4714-0",

pages = "118--122",

booktitle = "Conference on Human System Interaction",

note = "7TH INTERNATIONAL CONFERENCE ON HUMAN SYSTEM INTERACTIONS (HSI) ; Conference date: 01-01-2014",

}

TY - GEN

T1 - Performance analysis of HMI system based on PCA

AU - Antunes, Rui M.

AU - Palma, Luís Filipe Figueira de Brito

AU - Coito, Fernando José Almeida Vieira do

AU - Duarte-Ramos, Hermínio

PY - 2014

Y1 - 2014

N2 - This work proposes a performance analysis method based on Principal Component Analysis (PCA) for the skill quantification during several pursuit manual tracking tasks, which may occur in human-machine manual operations such as piloting, driving and navigation. A set of increased difficulty tracking experiments was made and analyzed using an 8-bit analog joystick human-machine interface (HMI). This PCA methodology based on the projections of the observation data which optimally captures the data variations, has confirmed to differentiate better the computed human-machine performance of the common operator/task, and can be used as a precision skill observer for a human machine assist-controller electronic device.

AB - This work proposes a performance analysis method based on Principal Component Analysis (PCA) for the skill quantification during several pursuit manual tracking tasks, which may occur in human-machine manual operations such as piloting, driving and navigation. A set of increased difficulty tracking experiments was made and analyzed using an 8-bit analog joystick human-machine interface (HMI). This PCA methodology based on the projections of the observation data which optimally captures the data variations, has confirmed to differentiate better the computed human-machine performance of the common operator/task, and can be used as a precision skill observer for a human machine assist-controller electronic device.

KW - Skill analysis

KW - Human-machine interface systems

KW - Manual pursuit tracking

KW - Principal component analysis

KW - human-machine interface systems

KW - manual pursuit tracking

KW - principal component analysis

KW - skill analysis

U2 - 10.1109/HSI.2014.6860459

DO - 10.1109/HSI.2014.6860459

M3 - Conference contribution

SN - 978-1-4799-4714-0

SP - 118

EP - 122

BT - Conference on Human System Interaction

T2 - 7TH INTERNATIONAL CONFERENCE ON HUMAN SYSTEM INTERACTIONS (HSI)

Y2 - 1 January 2014

ER -

Performance analysis of HMI system based on PCA

Abstract

Conference

Keywords

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