Research on the Agricultural Skills Training Based on the Motion-Sensing Technology of the Leap Motion

Abstract : With the increasing development of virtual reality technology, the motion-sensing technology used in agricultural skills training more widely, it plays a great role in promoting the agricultural production, scientific research and teaching. To break the space-time constraints, in order to train the farmers to know well the high precision agricultural skills, and increase the user’s immersive and interactive, we propose a training method based on motion-sensing technology. This article in view of the grape vines binding technology, puts forward a kind of agricultural skills training methods based on the leap motion technology. Through maya bone modeling technology to realize 3-D simulation of grape vines, the system completes the interactive simulation of grape vines binding based on leap motion technology. The experimental results show that the system can be a very good simulation of the grape vines binding process. System is stable, reliable and strong commonality, it can be used for simulating different plants vine binding, and the system innovative interactive, it can increases the user experience.
Document type :
Conference papers
Complete list of metadatas

Cited literature [8 references]  Display  Hide  Download

https://hal.inria.fr/hal-01614219
Contributor : Hal Ifip <>
Submitted on : Tuesday, October 10, 2017 - 3:43:51 PM
Last modification on : Tuesday, October 10, 2017 - 3:53:30 PM
Long-term archiving on : Thursday, January 11, 2018 - 2:12:31 PM

File

434298_1_En_29_Chapter.pdf
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Peng-Fei Zhao, Tian-En Chen, Wei Wang, Fang-Yi Chen. Research on the Agricultural Skills Training Based on the Motion-Sensing Technology of the Leap Motion. 9th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2015, Beijing, China. pp.277-286, ⟨10.1007/978-3-319-48354-2_29⟩. ⟨hal-01614219⟩

Share

Metrics

Record views

119

Files downloads

80