THE REAL TIME HAND AND OBJECT INTERACTION RECOGNITION: THE 3-SCOPED STEERING WHEEL EXAMPLE
DOI:
https://doi.org/10.54309/IJICT.2022.9.1.001Keywords:
распознавание объектов, отслеживание рук, распознавание действия, 3D-оценка позы, MediaPipe, R-CNN, TensorflowAbstract
The article presents the development and research of recognition of the interaction of the human hand with objects. The developed model receives frames from an RGB camera and is performed in three stages: (a) hand tracking, (b) object tracking, and (c) action recognition. The steering wheel is used as the object under study
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Published
2022-03-15
How to Cite
Nuralin, M., & Daineko, Y. (2022). THE REAL TIME HAND AND OBJECT INTERACTION RECOGNITION: THE 3-SCOPED STEERING WHEEL EXAMPLE. INTERNATIONAL JOURNAL OF INFORMATION AND COMMUNICATION TECHNOLOGIES, 3(1), 8–13. https://doi.org/10.54309/IJICT.2022.9.1.001
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Section
SOFTWARE DEVELOPMENT AND KNOWLEDGE ENGINEERING
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Copyright (c) 2022 International Journal of Information and Communication Technologies
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
https://creativecommons.org/licenses/by-nc-nd/3.0/deed.en