Results 21 to 30 of about 68,198 (256)

CASAM: collaborative human-machine annotation of multimedia [PDF]

Multimedia Tools and Applications, 2013
The CASAM multimedia annotation system implements a model of cooperative annotation between a human annotator and automated components. The aim is that they work asynchronously but together. The system focuses upon the areas where automated recognition and reasoning are most effective and the user is able to work in the areas where their unique skills ...
Robert J. Hendley, Russell Beale, Chris P. Bowers, Christos Georgousopoulos, Charalampos Vassiliou, Sergios Petridis, Ralf Möller 0001, Eric Karstens, Dimitris Spiliotopoulos   +8 more
openaire   +1 more source

Novel Drone Design Using an Optimization Software with 3D Model, Simulation, and Fabrication in Drone Systems Research

Drones, 2022
This paper presents the design of a small size Unmanned Aerial Vehicle (UAV) using the 3DEXPERIENCE software. The process of designing the frame parts involves many methods to ensure the parts can meet the requirements while conforming to safety and ...
Ahmed. O. MohamedZain, Huangshen Chua, Kianmeng Yap, Pavithren Uthayasurian, Teoh Jiehan   +4 more
doaj   +1 more source

One-Shot Tagging During Wake and Cueing During Sleep With Spatiotemporal Patterns of Transcranial Electrical Stimulation Can Boost Long-Term Metamemory of Individual Episodes in Humans

Frontiers in Neuroscience, 2020
Targeted memory reactivation (TMR) during slow-wave oscillations (SWOs) in sleep has been demonstrated with sensory cues to achieve about 5–12% improvement in post-nap memory performance on simple laboratory tasks.
Praveen K. Pilly, Steven W. Skorheim, Ryan J. Hubbard, Nicholas A. Ketz, Shane M. Roach, Itamar Lerner, Itamar Lerner, Aaron P. Jones, Bradley Robert, Natalie B. Bryant, Arno Hartholt, Teagan S. Mullins, Jaehoon Choe, Vincent P. Clark, Michael D. Howard   +14 more
doaj   +1 more source

Interface Design for Human-Machine Collaborations in Drone Management [PDF]

IEEE Access, 2021
Unmanned aerial vehicles (UAVs) operate with large degrees of autonomy when executing tasks from a ground-based controller. In this work, we design an (immersive) interface for drone management. Our interface supports operators in mission execution of one or several (automated) UAVs within a fleet.
Stefan Feuerriegel, Rúben Geraldes, Artur Goncalves, Ziqi Liu, Helmut Prendinger   +4 more
openaire   +3 more sources

The Design and Fabrication of Multiple-Transmitter Coils and Single-Receiver Coils for a Wireless Power Transfer System to Charge a 3s LiPo Drone’s Battery

Energies, 2023
Recent research has shown an increasing interest in wireless power transfer (WPT) technology for drone batteries. The inconvenience of wired charging, especially for drones, is a huge obstacle.
Ahmed O. MohamedZain, Lee Wei Hou, Huangshen Chua, Kianmeng Yap, Lau Kim Boon   +4 more
doaj   +1 more source

Who Is to Blame? The Appearance of Virtual Agents and the Attribution of Perceived Responsibility

Sensors, 2021
Virtual agents have been widely used in human-agent collaboration work. One important problem with human-agent collaboration is the attribution of responsibility as perceived by users.
Tetsuya Matsui, Atsushi Koike
doaj   +1 more source

Mental State Assessment and Validation Using Personalized Physiological Biometrics

Frontiers in Human Neuroscience, 2018
Mental state monitoring is a critical component of current and future human-machine interfaces, including semi-autonomous driving and flying, air traffic control, decision aids, training systems, and will soon be integrated into ubiquitous products like ...
Aashish N. Patel, Michael D. Howard, Shane M. Roach, Aaron P. Jones, Natalie B. Bryant, Charles S. H. Robinson, Vincent P. Clark, Praveen K. Pilly   +7 more
doaj   +1 more source

Human Performance in Competitive and Collaborative Human-Machine Teams

Topics in Cognitive Science, 2022
In the modern world, there are important tasks that have become too complex for a single unaided individual to manage. Some safety-critical tasks are conducted by teams to improve task performance and minimize risk of error. These teams have traditionally consisted of human operators, yet nowadays AI and machine systems are incorporated into team ...
Murray Scott Bennett, Laiton Gregory Hedley, Jonathon Love, Joseph Woodworth Houpt, Scott Brown, Ami Eidels   +5 more
openaire   +2 more sources

Neural Surfel Reconstruction: Addressing Loop Closure Challenges in Large-Scale 3D Neural Scene Mapping

Sensors
Efficiently reconstructing complex and intricate surfaces at scale remains a significant challenge in 3D surface reconstruction. Recently, implicit neural representations have become a popular topic in 3D surface reconstruction.
Jiadi Cui, Jiajie Zhang, Laurent Kneip, Sören Schwertfeger   +3 more
doaj   +1 more source

Detection and Utilization of Reflections in LiDAR Scans through Plane Optimization and Plane SLAM

Sensors
In LiDAR sensing, glass, mirrors and other materials often cause inconsistent data readings from reflections. This causes problems in robotics and 3D reconstruction, especially with respect to localization, mapping and, thus, navigation.
Yinjie Li, Xiting Zhao, Sören Schwertfeger   +2 more
doaj   +1 more source