Hand gesture recognition is a technology that achieves interaction by recognizing human gesture actions. This questionnaire is aimed at gathering feedback on a hand gesture recognition system designed for intuitive control of multi-rotor unmanned aerial vehicles. The system features a mode-based gesture library for navigating, configuration, formation, and tasking, supported by a user-friendly interface for real-time human-mUAV interaction.
After using HGIC for multi-UAV control on the lab workstation, we invite you to evaluate the performance, regarding usability, intuitiveness, accuracy, UI design, and the rationality of gesture classification.
Address: Room AEB 057 Cognitive Robotics and AI lab(CRAI), College of Aeronautics and Engineering Kent State University, 1400 University Esplanade, Kent, OH 44242
- PI: Dr. Rui Liu (rliu11@kent.edu). Google Scholar: https://scholar.google.com/citations?user=wAEi6FUAAAAJ&hl=en
- Student responder: Mengsha Hu (mhu8@kent.edu), Runxiang Jin (rjin4@kent.edu)
Time estimated:10 minutes
This statement guarantees to the participants that their data will be kept confidential. Use only when ensuring the safety of the laboratory environment for testing or developing gesture recognition systems.