ArticleSensors (Basel, Switzerland)2021
Real-Time Human Detection and Gesture Recognition for On-Board UAV Rescue.
Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Human Detection in UAV Thermal Imagery: Dataset Extension and Comparative Evaluation on Embedded Platforms.Journal of imaging · 2025Article
- Integration of Tracking, Re-Identification, and Gesture Recognition for Facilitating Human-Robot Interaction.Sensors (Basel, Switzerland) · 2024Article
- Real-Time Person Detection in Wooded Areas Using Thermal Images from an Aerial Perspective.Sensors (Basel, Switzerland) · 2023Article
- A Federated Learning Latency Minimization Method for UAV Swarms Aided by Communication Compression and Energy Allocation.Sensors (Basel, Switzerland) · 2023Article
- Wearable Drone Controller: Machine Learning-Based Hand Gesture Recognition and Vibrotactile Feedback.Sensors (Basel, Switzerland) · 2023Article
- Unmanned aerial vehicle based intelligent triage system in mass-casualty incidents using 5G and artificial intelligence.World journal of emergency medicine · 2023Article
- Motion Estimation and Hand Gesture Recognition-Based Human-UAV Interaction Approach in Real Time.Sensors (Basel, Switzerland) · 2022Article
- Power Allocation and Energy Cooperation for UAV-Enabled MmWave Networks: A Multi-Agent Deep Reinforcement Learning Approach.Sensors (Basel, Switzerland) · 2021Article
- First Step toward Gestural Recognition in Harsh Environments.Sensors (Basel, Switzerland) · 2021Article
- A Monocular Visual Odometry Method Based on Virtual-Real Hybrid Map in Low-Texture Outdoor Environment.Sensors (Basel, Switzerland) · 2021Article
- Impact of Using Drones in Emergency Medicine: What Does the Future Hold?Open access emergency medicine : OAEM · 2021Review
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Authors and funding
2 authors.
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Abstract
Unmanned aerial vehicles (UAVs) play an important role in numerous technical and scientific fields, especially in wilderness rescue. This paper carries out work on real-time UAV human detection and recognition of body and hand rescue gestures. We use body-featuring solutions to establish biometric communications, like yolo3-tiny for human detection. When the presence of a person is detected, the system will enter the gesture recognition phase, where the user and the drone can communicate briefly and effectively, avoiding the drawbacks of speech communication. A data-set of ten body rescue gestures (i.e., Kick, Punch, Squat, Stand, Attention, Cancel, Walk, Sit, Direction, and PhoneCall) has been created by a UAV on-board camera. The two most important gestures are the novel dynamic Attention and Cancel which represent the set and reset functions respectively. When the rescue gesture of the human body is recognized as Attention, the drone will gradually approach the user with a larger resolution for hand gesture recognition. The system achieves 99.80% accuracy on testing data in body gesture data-set and 94.71% accuracy on testing data in hand gesture data-set by using the deep learning method. Experiments conducted on real-time UAV cameras confirm our solution can achieve our expected UAV rescue purpose.
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