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
Link To Document :
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