Computer vision and deep learning techniques for pedestrian detection and tracking: A survey

A Brunetti, D Buongiorno, GF Trotta, V Bevilacqua - Neurocomputing, 2018 - Elsevier
Pedestrian detection and tracking have become an important field in the computer vision
research area. This growing interest, started in the last decades, might be explained by the …

A survey on unmanned aerial vehicle remote control using brain–computer interface

A Nourmohammadi, M Jafari… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Numerous methods have been developed to gain reliable real-time remote control over
pilotless flying aircraft and to perform teleoperation. Recently, state-of-the-art brain-computer …

The state-of-the-art of human–drone interaction: A survey

D Tezza, M Andujar - ieee access, 2019 - ieeexplore.ieee.org
Drones have expanded from military operations to performing a broad range of civilian
applications. As drone usage increases, humans will interact with such systems more often …

Drone services: issues in drones for location-based services from human-drone interaction to information processing

M Alwateer, SW Loke, AM Zuchowicz - Journal of Location Based …, 2019 - Taylor & Francis
Recently, drones (or unmanned aerial vehicles (UAVs)) are getting increasing attention and
taking mobile computing to a new era. Due to the support of highly advanced technologies …

Progress in EEG‐Based Brain Robot Interaction Systems

X Mao, M Li, W Li, L Niu, B Xian… - Computational …, 2017 - Wiley Online Library
The most popular noninvasive Brain Robot Interaction (BRI) technology uses the
electroencephalogram‐(EEG‐) based Brain Computer Interface (BCI), to serve as an …

Natural interaction techniques for an unmanned aerial vehicle system

E Peshkova, M Hitz, B Kaufmann - IEEE Pervasive Computing, 2017 - ieeexplore.ieee.org
This article provides an overview of existing interaction techniques for controlling unmanned
aerial vehicle (UAV) systems. This work focuses on user interfaces with nontraditional input …

A conceptual space for EEG-based brain-computer interfaces

N Kosmyna, A Lécuyer - PloS one, 2019 - journals.plos.org
Brain-Computer Interfaces (BCIs) have become more and more popular these last years.
Researchers use this technology for several types of applications, including attention and …

CogniDron-EEG: A system based on a brain–computer interface and a drone for cognitive training

JA Cervantes, S López, J Molina, F López… - Cognitive Systems …, 2023 - Elsevier
The need for engaging treatment approaches in mental health care has led to the
developing of new applications based on serious game approaches. These approaches …

[HTML][HTML] Gamification of motor imagery brain-computer interface training protocols: A systematic review

F Atilla, M Postma, M Alimardani - Computers in Human Behavior Reports, 2024 - Elsevier
Abstract Current Motor Imagery Brain-Computer Interfaces (MI-BCI) require a lengthy and
monotonous training procedure to train both the system and the user. Considering many …

Exploring user-defined gestures and voice commands to control an unmanned aerial vehicle

E Peshkova, M Hitz, D Ahlström - … 2016, Utrecht, The Netherlands, June 28 …, 2017 - Springer
In this paper we follow a participatory design approach to explore what novice users find to
be intuitive ways to control an Unmanned Aerial Vehicle (UAV). We gather users' …