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Research Article | Open Access |

SkySculptor: Intuitive Drone Control Through Ground-Integrated Radar and Foot Gestures in Smart Indoor Environments

Author 1: Alexandru-Ionut Siean
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 15, No. 2 · Published 2024

DOI: https://doi.org/10.14569/IJACSA.2024.0150204

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Abstract

SkySculptor is a software application designed to optimize drone control in smart indoor environments. The primary focus is on using gesture input for drone control, particularly investigating mid-air free-foot interactions detected by radar sensing. This software application simplifies the process of controlling drones in smart indoor environments. Additionally, outcomes of utilizing a 15-antenna ultra-wideband 3D radar are presented, establishing a dictionary of six directional swipe gestures for controlling drone functions. Based on the findings of this research article, guidelines for the future development of software applications for drone control in intelligent indoor environments are proposed.

Keywords

Drone control gesture input ultra-wideband radar software application smart environments

How to Cite this Article

Siean, A. (2024). SkySculptor: Intuitive Drone Control Through Ground-Integrated Radar and Foot Gestures in Smart Indoor Environments. International Journal of Advanced Computer Science and Applications, 15(2). https://doi.org/10.14569/IJACSA.2024.0150204

Siean, Alexandru-Ionut. "SkySculptor: Intuitive Drone Control Through Ground-Integrated Radar and Foot Gestures in Smart Indoor Environments." International Journal of Advanced Computer Science and Applications, vol. 15, no. 2, 2024, https://doi.org/10.14569/IJACSA.2024.0150204.

@article{Siean2024,
  title     = {SkySculptor: Intuitive Drone Control Through Ground-Integrated Radar and Foot Gestures in Smart Indoor Environments},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {15},
  number    = {2},
  year      = {2024},
  publisher = {The Science and Information Organization},
  author    = {Alexandru-Ionut Siean},
  doi       = {10.14569/IJACSA.2024.0150204},
  url       = {https://doi.org/10.14569/IJACSA.2024.0150204}
}

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