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A Data Adjustment Method of Low-priced Data-glove based on Hand Motion Pattern

Authors:
Kenji Funahashi
Yutaro Mori
Hiromasa Takahashi
Yuji Iwahori

Keywords: Data-glove; Hand motion estimation; Finger joint angles estimation.

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. In our previous work, 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. We also assumed that other hand motions can be represented by synthetic motion of the representative patterns. In our previous work, we used the data glove with sensors covering two joints of each finger. In this paper, we estimate the finger joint angles when using the data glove whose sensors cover only the middle angle of each finger.

Pages: 97 to 102

Copyright: Copyright (c) IARIA, 2017

Publication date: February 19, 2017

Published in: conference

ISSN: 2308-3557

ISBN: 978-1-61208-534-0

Location: Athens, Greece

Dates: from February 19, 2017 to February 23, 2017