In this paper, we analyze and compare existing human grasp taxonomies and synthesize them into a single new taxonomy (dubbed “The GRASP Taxonomy” after the GRASP project funded by the European Commission). We consider only static and stable grasps performed by one hand. The goal is to extract the largest set of different grasps that…
IEEE Transactions on Human-Machine Systems Template
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About the IEEE Transactions on Human-Machine Systems format
IEEE Transactions on Human-Machine Systems is a peer-reviewed journal published by IEEE, covering Human-Automation Interaction and Safety, EEG and Brain-Computer Interfaces, Gaze Tracking and Assistive Technology. Over its lifetime it has published 1,669 papers, which have received 36,005 citations.
| Publisher | IEEE |
|---|---|
| Reference style | Numbered (IEEE) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, and C. Lee, "A representative article title," IEEE Transactions on Human-Machine Systems, vol. 12, no. 3, pp. 45–58, 2023.
Formats any DOI in IEEE Transactions on Human-Machine Systems style. No sign-up. |
| Abbreviation (ISO-4) | THMS |
| Publishes research in | Human-Automation Interaction and Safety EEG and Brain-Computer Interfaces Gaze Tracking and Assistive Technology Cognitive Computing and Networks Tactile and Sensory Interactions |
| ISSN | 2168-2291 |
| Citation impact (2-yr) | 2.42 |
| h-index | 90 |
| i10-index | 718 |
| Top institutions publishing here | Delft University of Technology |
| Journal website | ieeexplore.ieee.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in IEEE Transactions on Human-Machine Systems per year
Citation impact of IEEE Transactions on Human-Machine Systems by publication year
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Most-cited papers in IEEE Transactions on Human-Machine Systems
The human factors literature on intelligent systems was reviewed in relation to the following: efficient human supervision of multiple robots, appropriate human trust in the automated systems, maintenance of human operator's situation awareness, individual differences in human-agent (H-A) interaction, and retention of human decision authority. A number of approaches-from flexible automation to autonomous agents-were reviewed,…
Collaborative fluency is the coordinated meshing of joint activities between members of a well-synchronized team. In recent years, researchers in human-robot collaboration have been developing robots to work alongside humans aiming not only at task efficiency, but also at human-robot fluency. As part of this effort, we have developed a number of metrics to evaluate…
Wireless body sensor networks (BSNs) possess enormous potential for changing people's daily lives. They can enhance many human-centered application domains such as m-Health, sport and wellness, and human-centered applications that involve physical/virtual social interactions. However, there are still challenging issues that limit their wide diffusion in real life: primarily, the programming complexity of these systems,…
Recent advances in technology are delivering robots of reduced size and cost. A natural outgrowth of these advances are systems comprised of large numbers of robots that collaborate autonomously in diverse applications. Research on effective autonomous control of such systems, commonly called swarms, has increased dramatically in recent years and received attention from many domains,…