Home // International Journal On Advances in Software, volume 10, numbers 3 and 4, 2017 // View article

Method to Use Low-priced Data-glove Effectively Based on Medical Knowledge for Hand Motion Pattern

Authors:
Kenji Funahashi
Yutaro Mori
Hiromasa Takahashi
Yuji Iwahori

Keywords: Hand motion estimation; Finger joint angles estimation; Medical knowledge.

Abstract:
A data glove is one of the major interfaces used in the field of virtual reality. In order to get detailed data about the finger joint angles, we must use a data glove with many sensors. However, a data glove with many sensors is expensive and a low-priced data glove does not have enough sensors to capture all the hand data correctly. We propose a method to obtain all finger joint angles by estimating the pattern of hand motion from the low-priced data glove sensor values. In our experiment system, we assumed some representative hand motion patterns as grasping behavior based on medical knowledge. We also assumed that other hand motions can be represented by synthetic motion of the representative patterns. In this paper, we used the data glove with sensors covering two joints of each finger. And we also estimate the finger joint angles when using the data glove that sensors cover only the middle angle of each finger.

Pages: 241 to 250

Copyright: Copyright (c) to authors, 2017. Used with permission.

Publication date: December 31, 2017

Published in: journal

ISSN: 1942-2628