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

Chuankai Dai, Takafumi Matsumaru

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publication2015 IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2139-2144
Number of pages6
ISBN (Electronic)9781467396745
DOIs
Publication statusPublished - 2016 Feb 24
EventIEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015 - Zhuhai, China
Duration: 2015 Dec 62015 Dec 9

Other

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

Fingerprint

Motion estimation
Lasers
Experiments
Sensors
Air

ASJC Scopus subject areas

  • Artificial Intelligence
  • Hardware and Architecture
  • Control and Systems Engineering

Cite this

Dai, C., & Matsumaru, T. (2016). Extraction of representative point from hand contour data based on laser range scanner for hand motion estimation. In 2015 IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015 (pp. 2139-2144). [7419090] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ROBIO.2015.7419090

Extraction of representative point from hand contour data based on laser range scanner for hand motion estimation. / Dai, Chuankai; Matsumaru, Takafumi.

2015 IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015. Institute of Electrical and Electronics Engineers Inc., 2016. p. 2139-2144 7419090.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Dai, C & Matsumaru, T 2016, Extraction of representative point from hand contour data based on laser range scanner for hand motion estimation. in 2015 IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015., 7419090, Institute of Electrical and Electronics Engineers Inc., pp. 2139-2144, IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015, Zhuhai, China, 15/12/6. https://doi.org/10.1109/ROBIO.2015.7419090
Dai C, Matsumaru T. Extraction of representative point from hand contour data based on laser range scanner for hand motion estimation. In 2015 IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015. Institute of Electrical and Electronics Engineers Inc. 2016. p. 2139-2144. 7419090 https://doi.org/10.1109/ROBIO.2015.7419090
Dai, Chuankai ; Matsumaru, Takafumi. / Extraction of representative point from hand contour data based on laser range scanner for hand motion estimation. 2015 IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 2139-2144
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