Above and beyond: A scoping review of domains and applications for human-drone interaction

V Herdel, LJ Yamin, JR Cauchard - … of the 2022 CHI Conference on …, 2022 - dl.acm.org
Interacting with flying objects has fueled people's imagination throughout history. Over the
past decade, the Human-Drone Interaction (HDI) community has been working towards …

[PDF][PDF] Study on most popular behavioral biometrics, advantages, disadvantages and recent applications: A review

IM Alsaadi - Int. J. Sci. Technol. Res, 2021 - researchgate.net
Reducing the growing risks of an unauthorized access to various sensitive systems is a
critical issue nowadays. Examples of such sensitive systems are bank accounts, secure …

Real-time human detection and gesture recognition for on-board UAV rescue

C Liu, T Szirányi - Sensors, 2021 - mdpi.com
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 …

Development of an automated camera-based drone landing system

M Demirhan, C Premachandra - IEEE Access, 2020 - ieeexplore.ieee.org
Digital image processing serves as a multifunctional tool for measurement and positioning
tasks in robotics. The present paper deals with the development of a camera-based …

Autonomous firefighting inside buildings by an unmanned aerial vehicle

V Spurny, V Pritzl, V Walter, M Petrlik, T Baca… - IEEE …, 2021 - ieeexplore.ieee.org
This paper presents a novel approach to autonomous extinguishing of indoor fires inside a
building by a Micro-scale Unmanned Aerial Vehicle (MAV). In particular, controlling and …

Radar system for detecting respiration vital sign of live victim behind the wall

AA Pramudita, DB Lin, SN Hsieh, E Ali… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
The presence of an obstacle in detecting respiration vital signs using a radar system does
not only exhibit attenuation and phase shift effects on the radar signal but also causes …

Small and slim deep convolutional neural network for mobile device

AS Winoto, M Kristianus, C Premachandra - IEEE Access, 2020 - ieeexplore.ieee.org
Recent development of deep convolutional neural networks (DCNN) devoted in creating a
slim model for devices with lower specification such as embedded, mobile hardware, or …

Aerial flight paths for communication: How participants perceive and intend to respond to drone movements

A Bevins, BA Duncan - Proceedings of the 2021 ACM/IEEE International …, 2021 - dl.acm.org
This work has developed an iteratively refined understanding of participants' natural
perceptions and responses to unmanned aerial vehicle (UAV) flight paths, or gestures. This …

Road condition detection and emergency rescue recognition using on-board UAV in the wildness

C Liu, T Szirányi - Remote Sensing, 2022 - mdpi.com
Unmanned aerial vehicle (UAV) vision technology is becoming increasingly important,
especially in wilderness rescue. For humans in the wilderness with poor network conditions …

Audio-Processing-Based human detection at disaster sites with unmanned aerial vehicle

Y Yamazaki, C Premachandra, CJ Perea - IEEE Access, 2020 - ieeexplore.ieee.org
This paper describes a human search system that uses an unmanned aerial vehicle (UAV).
The use of robots to search for people is expected to become an auxiliary tool for saving …