Results 21 to 30 of about 10,320,823 (245)
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 +8 more
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Latest Developments of Gesture Recognition for Human–Robot Collaboration
, 2021 Recently, the concept of human-robot collaboration has raised many research interests. Instead of robots replacing human operators in workplaces, human-robot collaboration is the direction that allows human operators and robots to work together. Although
Hongyi Liu +3 more
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Human–Machine Collaboration for Organizations: A Review
Intelligent robots are becoming more and more common in the workplace and in society as a result of the digital economy’s explosive growth. Human–machine collaboration (HM-C) has replaced human–machine coexistence and cooperation in the case of intelligent machines (IM) and humans.
Saurabh Tiwari, Manish Yadav
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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 +4 more
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Human-Machine Collaboration for Medical Image Segmentation
ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020 Image segmentation is a ubiquitous step in almost any medical image study. Deep learning-based approaches achieve state-of-the-art in the majority of image segmentation benchmarks. However, end-to-end training of such models requires sufficient annotation.
Mahdyar Ravanbakhsh +6 more
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Security of human machine systems
, 2023 In this chapter, we provide an overview of cyber-physical security applied to human machine systems (HMS), including a basic taxonomy, reference models, historical background and state-of-the-art.
Marrone, S., +3 more
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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 +7 more
doaj +1 more source
Human–Robot Collaboration in Manufacturing: A Multi-agent View
, 2021 Recent years have witnessed a growing interest in reintroducing the advantages of the human workforce into industrial production processes while keeping the benefits of machines already proven in production automation.
Wang, Xi Vincent, +7 more
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Learning labelled dependencies in machine translation evaluation [PDF]
, 2009 Recently novel MT evaluation metrics have been presented which go beyond pure string matching, and which correlate better than other existing metrics with human judgements.
He, Yifan, Way, Andy
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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 +5 more
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