<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>In this paper we discuss some image processing methods that can be used for motion recognition of human body parts such as hands or arms in order to interact with robots. This interaction is usually associated to gesture-based control. The considered image processing methods have been experienced for feature recognition in applications involving human robot interaction. They are namely: Sequential Similarity Detection Algorithm (SSDA), an appearance-based approach that uses image databases to model objects, and Kanade-Lucas-Tomasi (KLT) algorithm which is usually used for feature tracking. We illustrate the gesture-based interaction by using KLT algorithm. We discuss the adaptation of each of these methods to the context of gesture-based robot interaction and some of their related issues.</p>
</abstract>

In this paper we discuss some image processing methods that can be used for motion recognition of human body parts such as hands or arms in order to interact with robots. This interaction is usually associated to gesture-based control. The considered image processing methods have been experienced for feature recognition in applications involving human robot interaction. They are namely: Sequential Similarity Detection Algorithm (SSDA), an appearance-based approach that uses image databases to model objects, and Kanade-Lucas-Tomasi (KLT) algorithm which is usually used for feature tracking. We illustrate the gesture-based interaction by using KLT algorithm. We discuss the adaptation of each of these methods to the context of gesture-based robot interaction and some of their related issues.

Image Processing Methods for Gesture-Based Robot Control

Brothers Mentouri University Constantine1

Acta Universitatis Sapientiae, Electrical and Mechanical Engineering

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Image Processing Methods for Gesture-Based Robot Control"}

In this paper we discuss some image processing methods that can be used for motion recognition of human body parts such as hands or arms in order to interact...

Image Processing Methods for Gesture-Based Robot Control

Online veröffentlicht: 30. Dez. 2021

Seitenbereich: 101 - 113

Eingereicht: 14. Feb. 2021

Akzeptiert: 20. Sept. 2021

DOI: https://doi.org/10.2478/auseme-2021-0008

Schlüsselwörter
Gesture-based control, human-robot interaction, feature recognition, movement tracking, robotics

© 2021 Abdelouahab Zaatri et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Image Processing Methods for Gesture-Based Robot Control

Online veröffentlicht: 30. Dez. 2021

Seitenbereich: 101 - 113

Eingereicht: 14. Feb. 2021

Akzeptiert: 20. Sept. 2021

DOI: https://doi.org/10.2478/auseme-2021-0008

SchlüsselwörterGesture-based control, human-robot interaction, feature recognition, movement tracking, robotics

© 2021 Abdelouahab Zaatri et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
Gesture-based control, human-robot interaction, feature recognition, movement tracking, robotics