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3D pointing gesture recognition for human-robot interaction

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conference contribution
posted on 2023-06-09, 09:23 authored by Yuhui Lai, Chen Wang, Yanan LiYanan Li, Shuzhi Sam Ge, Deqing Huang
In this paper, a pointing gesture recognition method is proposed for human-robot interaction. The pointing direction of the human partner is obtained by extracting the joint coordinates and computing through vector calculations. 3D to 2D mapping is implemented to build a top-view 2D map with respect to the actual ground circumstance. Using this method, robot is able to interpret the human partner’s 3D pointing gesture based on the coordinate information of his/her shoulder and hand. Besides this, speed control of robot can be achieved by adjusting the position of the human partner’s hand relative to the head. The recognition performance and viability of the system are tested through quantitative experiments.

History

Publication status

  • Published

File Version

  • Accepted version

Journal

Control and Decision Conference (CCDC), 2016 Chinese

ISSN

1948-9447

Page range

4959-4964

Event name

2016 Chinese Control and Decision Conference (CCDC)

Event location

Yinchuan, China

Event type

conference

Event date

28-30 May 2016

Book title

2016 Chinese Control and Decision Conference (CCDC)

ISBN

9781467397148

Department affiliated with

  • Engineering and Design Publications

Notes

(c) 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Full text available

  • Yes

Peer reviewed?

  • Yes

Legacy Posted Date

2017-12-15

First Open Access (FOA) Date

2017-12-15

First Compliant Deposit (FCD) Date

2017-12-14

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