A probabilistic representation of human workspace for use in the design of human interface mechanisms
Identifieur interne : 001346 ( PascalFrancis/Corpus ); précédent : 001345; suivant : 001347A probabilistic representation of human workspace for use in the design of human interface mechanisms
Auteurs : Steven C. Venema ; Blake HannafordSource :
- IEEE/ASME transactions on mechatronics [ 1083-4435 ] ; 2001.
Descripteurs français
- Pascal (Inist)
English descriptors
- KwdEn :
Abstract
In designing kinematic mechanisms such as haptic devices for human usability, we must carefully consider human motion range. However, size variations across the human population significantly complicates anthropocentric design analysis. In this paper we develop a probabilistic representation for mechanism reachable workspace which is based on a kinematic model containing stochastically defined parameters. Using anthropometric data, we show how this "stochastic reachable workspace" may be derived, and present a case study for the human finger. This representation of human reachable workspace may then be used to more accurately design human interface mechanisms which accommodate a wide variety of users. The results of our case study on the reachable workspace of the human finger were used in the design of a fingertip haptic display.
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Pour connaître la documentation sur le format Inist Standard.
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Format Inist (serveur)
NO : | PASCAL 01-0484806 CRAN |
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ET : | A probabilistic representation of human workspace for use in the design of human interface mechanisms |
AU : | VENEMA (Steven C.); HANNAFORD (Blake) |
AF : | Mathematics and Computing Technologies Organization, Boeing Company/Seattle, WA 98124/Etats-Unis (1 aut.); Department of Electrical Engineering, University of Washington/Seattle, WA 98195/Etats-Unis (2 aut.) |
DT : | Publication en série; Niveau analytique |
SO : | IEEE/ASME transactions on mechatronics; ISSN 1083-4435; Etats-Unis; Da. 2001; Vol. 6; No. 3; Pp. 286-294; Bibl. 28 ref. |
LA : | Anglais |
EA : | In designing kinematic mechanisms such as haptic devices for human usability, we must carefully consider human motion range. However, size variations across the human population significantly complicates anthropocentric design analysis. In this paper we develop a probabilistic representation for mechanism reachable workspace which is based on a kinematic model containing stochastically defined parameters. Using anthropometric data, we show how this "stochastic reachable workspace" may be derived, and present a case study for the human finger. This representation of human reachable workspace may then be used to more accurately design human interface mechanisms which accommodate a wide variety of users. The results of our case study on the reachable workspace of the human finger were used in the design of a fingertip haptic display. |
CC : | 001D02D11; 001D12E06 |
FD : | Homme; Anthropométrie; Ergonomie; Robotique; Téléopération; Interface utilisateur; Sensibilité tactile; Synthèse mécanisme; Doigt; Atteignabilité; Domaine travail |
ED : | Human; Anthropometry; Ergonomics; Robotics; Remote operation; User interface; Tactile sensitivity; Mechanism synthesis; Finger; Reachability; Workspace |
SD : | Hombre; Antropometría; Ergonomía; Robótica; Teleacción; Interfase usuario; Sensibilidad tactil; Síntesis mecanismo; Dedo; Asequibilidad |
LO : | INIST-26423 |
ID : | 01-0484806 |
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Pascal:01-0484806Le document en format XML
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<ET>A probabilistic representation of human workspace for use in the design of human interface mechanisms</ET>
<AU>VENEMA (Steven C.); HANNAFORD (Blake)</AU>
<AF>Mathematics and Computing Technologies Organization, Boeing Company/Seattle, WA 98124/Etats-Unis (1 aut.); Department of Electrical Engineering, University of Washington/Seattle, WA 98195/Etats-Unis (2 aut.)</AF>
<DT>Publication en série; Niveau analytique</DT>
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<LA>Anglais</LA>
<EA>In designing kinematic mechanisms such as haptic devices for human usability, we must carefully consider human motion range. However, size variations across the human population significantly complicates anthropocentric design analysis. In this paper we develop a probabilistic representation for mechanism reachable workspace which is based on a kinematic model containing stochastically defined parameters. Using anthropometric data, we show how this "stochastic reachable workspace" may be derived, and present a case study for the human finger. This representation of human reachable workspace may then be used to more accurately design human interface mechanisms which accommodate a wide variety of users. The results of our case study on the reachable workspace of the human finger were used in the design of a fingertip haptic display.</EA>
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