Realtime Hand Posture Estimation with Self-Organizing Map for Stable Robot Control

Kiyoshi HOSHINO; Takanobu TANIMOTO

doi:10.1093/ietisy/e89-d.6.1813

Realtime Hand Posture Estimation with Self-Organizing Map for Stable Robot Control

Kiyoshi HOSHINO, Takanobu TANIMOTO

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The hand posture estimation system by searching a similar image from a vast database, such as our previous research, may cause the increase of processing time, and prevent realtime controlling of a robot. In this study, the authors proposed a new estimation method of human hand posture by rearranging a large-scale database with the Self-Organizing Map including self-reproduction and self-annihilation, which enables two-step searches of similar image with short period of processing time, within small errors, and without deviation of search time. The experimental results showed that our system exhibited good performance with high accuracy within processing time above 50 fps for each image input with a 2.8 GHz CPU PC.

Publication: IEICE TRANSACTIONS on Information Vol.E89-D No.6 pp.1813-1819

Publication Date: 2006/06/01

Publicized

Online ISSN: 1745-1361

DOI: 10.1093/ietisy/e89-d.6.1813

Type of Manuscript: Special Section PAPER (Special Section on Human Communication II)

Category: Robot and Interface

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Kiyoshi HOSHINO, Takanobu TANIMOTO, "Realtime Hand Posture Estimation with Self-Organizing Map for Stable Robot Control" in IEICE TRANSACTIONS on Information, vol. E89-D, no. 6, pp. 1813-1819, June 2006, doi: 10.1093/ietisy/e89-d.6.1813.
Abstract: The hand posture estimation system by searching a similar image from a vast database, such as our previous research, may cause the increase of processing time, and prevent realtime controlling of a robot. In this study, the authors proposed a new estimation method of human hand posture by rearranging a large-scale database with the Self-Organizing Map including self-reproduction and self-annihilation, which enables two-step searches of similar image with short period of processing time, within small errors, and without deviation of search time. The experimental results showed that our system exhibited good performance with high accuracy within processing time above 50 fps for each image input with a 2.8 GHz CPU PC.
URL: https://globals.ieice.org/en_transactions/information/10.1093/ietisy/e89-d.6.1813/_p

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@ARTICLE{e89-d_6_1813,
author={Kiyoshi HOSHINO, Takanobu TANIMOTO, },
journal={IEICE TRANSACTIONS on Information},
title={Realtime Hand Posture Estimation with Self-Organizing Map for Stable Robot Control},
year={2006},
volume={E89-D},
number={6},
pages={1813-1819},
abstract={The hand posture estimation system by searching a similar image from a vast database, such as our previous research, may cause the increase of processing time, and prevent realtime controlling of a robot. In this study, the authors proposed a new estimation method of human hand posture by rearranging a large-scale database with the Self-Organizing Map including self-reproduction and self-annihilation, which enables two-step searches of similar image with short period of processing time, within small errors, and without deviation of search time. The experimental results showed that our system exhibited good performance with high accuracy within processing time above 50 fps for each image input with a 2.8 GHz CPU PC.},
keywords={},
doi={10.1093/ietisy/e89-d.6.1813},
ISSN={1745-1361},
month={June},}

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TY - JOUR
TI - Realtime Hand Posture Estimation with Self-Organizing Map for Stable Robot Control
T2 - IEICE TRANSACTIONS on Information
SP - 1813
EP - 1819
AU - Kiyoshi HOSHINO
AU - Takanobu TANIMOTO
PY - 2006
DO - 10.1093/ietisy/e89-d.6.1813
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E89-D
IS - 6
JA - IEICE TRANSACTIONS on Information
Y1 - June 2006
AB - The hand posture estimation system by searching a similar image from a vast database, such as our previous research, may cause the increase of processing time, and prevent realtime controlling of a robot. In this study, the authors proposed a new estimation method of human hand posture by rearranging a large-scale database with the Self-Organizing Map including self-reproduction and self-annihilation, which enables two-step searches of similar image with short period of processing time, within small errors, and without deviation of search time. The experimental results showed that our system exhibited good performance with high accuracy within processing time above 50 fps for each image input with a 2.8 GHz CPU PC.
ER -