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Gesture-based and haptic interaction for human skill acquisition

Identifieur interne : 001516 ( PascalFrancis/Curation ); précédent : 001515; suivant : 001517

Gesture-based and haptic interaction for human skill acquisition

Auteurs : M. Bordegoni [Italie] ; F. De Angelis [Italie]

Source :

RBID : Pascal:98-0292615

Descripteurs français

English descriptors

Abstract

This paper describes the preliminary results of the research work currently ongoing at the University of Parma, and partially carried out within a basic research project funded by the European Union. The research work aims at applying the techniques used in gesture analysis and recognition for understanding human skill performed for non rigid object grasping and manipulation. The various grasping gestures have been classified on the basis of some quantitative features extracted from the hand gesture analysis. Finally, it is planned to map the formalized skill into a robotics system, that will be able to grasp and manipulate non rigid objects, also facing unexpected situations.
pA  
A01 01  1    @0 0302-9743
A05       @2 1371
A08 01  1  ENG  @1 Gesture-based and haptic interaction for human skill acquisition
A09 01  1  ENG  @1 Gesture and sign language in human-computer interaction : Bielefeld, 17-19 September 1997
A11 01  1    @1 BORDEGONI (M.)
A11 02  1    @1 DE ANGELIS (F.)
A12 01  1    @1 WACHSMUTH (Ipke) @9 ed.
A12 02  1    @1 FROHLICH (Martin) @9 ed.
A14 01      @1 KAEMaRT Group - Dipartimento di Ingegneria Industriale, Universita'degli Studi di Parma - Viale delle Scienze @2 43100 Parma @3 ITA @Z 1 aut. @Z 2 aut.
A20       @1 61-68
A21       @1 1998
A23 01      @0 ENG
A26 01      @0 3-540-64424-5
A43 01      @1 INIST @2 16343 @5 354000078747050060
A44       @0 0000 @1 © 1998 INIST-CNRS. All rights reserved.
A45       @0 10 ref.
A47 01  1    @0 98-0292615
A60       @1 P @2 C
A61       @0 A
A64   1    @0 Lecture notes in computer science
A66 01      @0 DEU
A66 02      @0 USA
C01 01    ENG  @0 This paper describes the preliminary results of the research work currently ongoing at the University of Parma, and partially carried out within a basic research project funded by the European Union. The research work aims at applying the techniques used in gesture analysis and recognition for understanding human skill performed for non rigid object grasping and manipulation. The various grasping gestures have been classified on the basis of some quantitative features extracted from the hand gesture analysis. Finally, it is planned to map the formalized skill into a robotics system, that will be able to grasp and manipulate non rigid objects, also facing unexpected situations.
C02 01  X    @0 001D02C03
C03 01  X  FRE  @0 Intelligence artificielle @5 01
C03 01  X  ENG  @0 Artificial intelligence @5 01
C03 01  X  SPA  @0 Inteligencia artificial @5 01
C03 02  X  FRE  @0 Sémiotique @5 02
C03 02  X  ENG  @0 Semiotics @5 02
C03 02  X  SPA  @0 Semiótica @5 02
C03 03  X  FRE  @0 Relation homme machine @5 03
C03 03  X  ENG  @0 Man machine relation @5 03
C03 03  X  SPA  @0 Relación hombre máquina @5 03
C03 04  X  FRE  @0 Reconnaissance forme @5 04
C03 04  X  ENG  @0 Pattern recognition @5 04
C03 04  X  GER  @0 Mustererkennung @5 04
C03 04  X  SPA  @0 Reconocimiento patrón @5 04
C03 05  X  FRE  @0 Analyse forme @5 05
C03 05  X  ENG  @0 Pattern analysis @5 05
C03 05  X  SPA  @0 Análisis forma @5 05
C03 06  3  FRE  @0 Système détection mouvement @5 06
C03 06  3  ENG  @0 Motion detection systems @5 06
C03 07  X  FRE  @0 Langage gestuel @5 07
C03 07  X  ENG  @0 Sign language @5 07
C03 07  X  SPA  @0 Lenguaje por signos @5 07
N21       @1 195
pR  
A30 01  1  ENG  @1 Gesture and sign language in human-computer interaction @3 Bielefeld DEU @4 1997-09-17

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Pascal:98-0292615

Le document en format XML

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