Extraction of representative point from hand contour data based on laser range scanner for hand motion estimation

Chuankai Dai, Takafumi Matsumaru

研究成果: Conference contribution

抄録

This paper shows a novel method to extract hand Representative Point (RP) based on 2-dimensional laser range scanner for hand motion estimation on projecting system. Image-projecting Desktop Arm Trainer (IDAT) is a projecting system for hand-eye coordination training, in which a projector displays an exercise screen on the desktop, and a laser range scanner detects trainee's hand motion. To realize multi-user HMI and expand more entertainment functions in IDAT system, an Air Hockey application was developed in which the hand RP requires a high precision. To generate hand RP precisely, we proposed our method in two parts to solve the data error problem and changeable hand contour problem. In part one, a data modifier is proposed and a sub-experiment is carried out to establish a modifying function for correcting sensor original data. In part two, we proposed three RP algorithms and carried out an evaluation experiment to estimate the reliability of three algorithms under different conditions. From the result, we get the most reliable algorithm corresponding to different situations in which the error of hand RP is less than 9.6 mm.

本文言語English
ホスト出版物のタイトル2015 IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015
出版社Institute of Electrical and Electronics Engineers Inc.
ページ2139-2144
ページ数6
ISBN(電子版)9781467396745
DOI
出版ステータスPublished - 2016 2 24
イベントIEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015 - Zhuhai, China
継続期間: 2015 12 62015 12 9

Other

OtherIEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015
国/地域China
CityZhuhai
Period15/12/615/12/9

ASJC Scopus subject areas

  • 人工知能
  • ハードウェアとアーキテクチャ
  • 制御およびシステム工学

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