Proceedings of the International Conference on Signal Processing and Computer Vision (SIPCOV-2023)

Leap Motion Sensor-based Learning-aid Tool using Hand Gesture Interfacing

Authors
Manjyoti Medhi1, *, Anjan Kumar Talukdar1
1Gauhati University, Guwahati, Assam, 781014, India
*Corresponding author. Email: medhimanjyoti1@gmail.com
Corresponding Author
Manjyoti Medhi
Available Online 4 October 2024.
DOI
10.2991/978-94-6463-529-4_12How to use a DOI?
Keywords
Human-computer interaction; Natural user interface; Leap Motion controller; Virtual reality; virtual objects
Abstract

This paper presents a free-hand gesture-based human computer interfacing system for developing a learning aid tool in a virtual reality environment. A device known as the leap motion controller, which tracks hand movements optically, is used for hand interaction. Various virtual objects are created using Unity 3D platform. By using our system, we have been able to control multiple virtual objects such as the globe, box, cylinder, etc. with our hand system. This tool can be utilized as a learning-aid for school students.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Signal Processing and Computer Vision (SIPCOV-2023)
Series
Advances in Engineering Research
Publication Date
4 October 2024
ISBN
978-94-6463-529-4
ISSN
2352-5401
DOI
10.2991/978-94-6463-529-4_12How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Manjyoti Medhi
AU  - Anjan Kumar Talukdar
PY  - 2024
DA  - 2024/10/04
TI  - Leap Motion Sensor-based Learning-aid Tool using Hand Gesture Interfacing
BT  - Proceedings of the International Conference on Signal Processing and Computer Vision (SIPCOV-2023)
PB  - Atlantis Press
SP  - 117
EP  - 129
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-529-4_12
DO  - 10.2991/978-94-6463-529-4_12
ID  - Medhi2024
ER  -