• DocumentCode
    2803263
  • Title

    Analyzing grasping for inferring cognitive states of users

  • Author

    Ogino, Kotaro ; Jitsuhiro, Takatoshi ; Miyajima, Chiyomi ; Takeda, Kozuya

  • Author_Institution
    Dept. of Media Sci., Nagoya Univ., Nagoya, Japan
  • fYear
    2010
  • fDate
    14-19 March 2010
  • Firstpage
    2230
  • Lastpage
    2233
  • Abstract
    We study the effect of cognitive states, feelings about tasks, on grasping behavior to estimate user´s feelings from their motion. Since people solve the inverse kinematics problem of grasping based on their cognition for the task, when they grasp an object, the way to grasp the object reflects their cognitive states. We are analyzing the way of grasping a cup depending on whether a user is stressed. The physical properties of grasping, volume and entropy of Grasp Jacobian ellipsoids are analyzed. The volume of Grasp Jacobian ellipsoids, which indicates the possible size of object movement, was shrunk after learning the grasp motion. Also the volumes between the relaxed and the stressed cognitive conditions were significantly different. These results show that the user´s cognition for tasks reflects the grasp forms and the possible size of object movement.
  • Keywords
    Jacobian matrices; cognition; entropy; human computer interaction; intelligent sensors; motion estimation; user modelling; Grasp Jacobian ellipsoid entropy; cognitive state; grasping analysis; intelligent sensor; inverse kinematic problem; motion analysis; user behavior; Cognition; Ellipsoids; Entropy; Jacobian matrices; Kinematics; Motion estimation; State estimation; Cognitive science; Jacobian matrice; Kinematics; Motion analysis; intelligent sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
  • Conference_Location
    Dallas, TX
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-4295-9
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2010.5495795
  • Filename
    5495795