Example of IEEE Transactions on Human-Machine Systems format
Recent searches

Example of IEEE Transactions on Human-Machine Systems format Example of IEEE Transactions on Human-Machine Systems format Example of IEEE Transactions on Human-Machine Systems format Example of IEEE Transactions on Human-Machine Systems format Example of IEEE Transactions on Human-Machine Systems format Example of IEEE Transactions on Human-Machine Systems format Example of IEEE Transactions on Human-Machine Systems format Example of IEEE Transactions on Human-Machine Systems format Example of IEEE Transactions on Human-Machine Systems format
Sample paper formatted on SciSpace - SciSpace
This content is only for preview purposes. The original open access content can be found here.
Look Inside
Example of IEEE Transactions on Human-Machine Systems format Example of IEEE Transactions on Human-Machine Systems format Example of IEEE Transactions on Human-Machine Systems format Example of IEEE Transactions on Human-Machine Systems format Example of IEEE Transactions on Human-Machine Systems format Example of IEEE Transactions on Human-Machine Systems format Example of IEEE Transactions on Human-Machine Systems format Example of IEEE Transactions on Human-Machine Systems format Example of IEEE Transactions on Human-Machine Systems format
Sample paper formatted on SciSpace - SciSpace
This content is only for preview purposes. The original open access content can be found here.
open access Open Access
recommended Recommended

IEEE Transactions on Human-Machine Systems — Template for authors

Publisher: IEEE
Categories Rank Trend in last 3 yrs
Human Factors and Ergonomics #1 of 39 up up by 1 rank
Computer Science Applications #53 of 693 up up by 25 ranks
Computer Networks and Communications #27 of 334 up up by 11 ranks
Control and Systems Engineering #22 of 260 up up by 11 ranks
Human-Computer Interaction #11 of 120 up up by 5 ranks
Artificial Intelligence #24 of 227 up up by 7 ranks
Signal Processing #13 of 108 up up by 3 ranks
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 289 Published Papers | 2737 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 22/07/2020
Related journals
Insights
General info
Top papers
Popular templates
Get started guide
Why choose from SciSpace
FAQ

Related Journals

open access Open Access

Hindawi

Quality:  
High
CiteRatio: 5.0
SJR: 0.371
SNIP: 1.169
open access Open Access

IEEE

Quality:  
High
CiteRatio: 7.7
SJR: 0.864
SNIP: 1.736
open access Open Access
recommended Recommended

IEEE

Quality:  
High
CiteRatio: 19.8
SJR: 2.882
SNIP: 3.86

Journal Performance & Insights

Impact Factor

CiteRatio

Determines the importance of a journal by taking a measure of frequency with which the average article in a journal has been cited in a particular year.

A measure of average citations received per peer-reviewed paper published in the journal.

3.374

1% from 2018

Impact factor for IEEE Transactions on Human-Machine Systems from 2016 - 2019
Year Value
2019 3.374
2018 3.332
2017 2.563
2016 2.493
graph view Graph view
table view Table view

9.5

6% from 2019

CiteRatio for IEEE Transactions on Human-Machine Systems from 2016 - 2020
Year Value
2020 9.5
2019 9.0
2018 7.3
2017 5.7
2016 5.4
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has increased by 1% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

insights Insights

  • CiteRatio of this journal has increased by 6% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

Measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

Measures actual citations received relative to citations expected for the journal's category.

0.873

26% from 2019

SJR for IEEE Transactions on Human-Machine Systems from 2016 - 2020
Year Value
2020 0.873
2019 1.185
2018 0.842
2017 0.603
2016 0.857
graph view Graph view
table view Table view

2.302

8% from 2019

SNIP for IEEE Transactions on Human-Machine Systems from 2016 - 2020
Year Value
2020 2.302
2019 2.512
2018 2.24
2017 2.239
2016 2.107
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has decreased by 26% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has decreased by 8% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

IEEE Transactions on Human-Machine Systems

Guideline source: View

All company, product and service names used in this website are for identification purposes only. All product names, trademarks and registered trademarks are property of their respective owners.

Use of these names, trademarks and brands does not imply endorsement or affiliation. Disclaimer Notice

IEEE

IEEE Transactions on Human-Machine Systems

Approved by publishing and review experts on SciSpace, this template is built as per for IEEE Transactions on Human-Machine Systems formatting guidelines as mentioned in IEEE author instructions. The current version was created on 22 Jul 2020 and has been used by 959 authors to write and format their manuscripts to this journal.

Human Factors and Ergonomics

Human-Computer Interaction

Computer Science Applications

Control and Systems Engineering

Computer Networks and Communications

Artificial Intelligence

Signal Processing

Social Sciences

i
Last updated on
22 Jul 2020
i
ISSN
2168-2291
i
Open Access
No
i
Sherpa RoMEO Archiving Policy
Green faq
i
Plagiarism Check
Available via Turnitin
i
Endnote Style
Download Available
i
Bibliography Name
IEEEtran
i
Citation Type
Numbered
[25]
i
Bibliography Example
C. W. J. Beenakker, “Specular andreev reflection in graphene,” Phys. Rev. Lett., vol. 97, no. 6, p.

Top papers written in this journal

open accessOpen access Journal Article DOI: 10.1109/THMS.2015.2470657
The GRASP Taxonomy of Human Grasp Types
Thomas Feix1, Javier Romero2, Heinz-Bodo Schmiedmayer3, Aaron M. Dollar1, Danica Kragic

Abstract:

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 gras... 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 were referenced in the literature and arrange them in a systematic way. The taxonomy provides a common terminology to define human hand configurations and is important in many domains such as human–computer interaction and tangible user interfaces where an understanding of the human is basis for a proper interface. Overall, 33 different grasp types are found and arranged into the GRASP taxonomy. Within the taxonomy, grasps are arranged according to 1) opposition type, 2) the virtual finger assignments, 3) type in terms of power, precision, or intermediate grasp, and 4) the position of the thumb. The resulting taxonomy incorporates all grasps found in the reviewed taxonomies that complied with the grasp definition. We also show that due to the nature of the classification, the 33 grasp types might be reduced to a set of 17 more general grasps if only the hand configuration is considered without the object shape/size. read more read less

Topics:

GRASP (63%)63% related to the paper, Taxonomy (general) (53%)53% related to the paper
636 Citations
Journal Article DOI: 10.1109/TSMCC.2012.2215852
Enabling Effective Programming and Flexible Management of Efficient Body Sensor Network Applications
Giancarlo Fortino1, Roberta Giannantonio2, Raffaele Gravina1, Philip Kuryloski3, Roozbeh Jafari4

Abstract:

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 l... 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, due to the lack of high-level software abstractions, and the hardware constraints of wearable devices. In contrast with low-level programming and general-purpose middleware, domain-specific frameworks are an emerging programming paradigm designed to fulfill the lack of suitable BSN programming support with proper abstraction layers. This paper analyzes the most important requirements for an effective BSN-specific software framework, enabling efficient signal-processing applications. Specifically, we present signal processing in node environment (SPINE), an open-source programming framework, designed to support rapid and flexible prototyping and management of BSN applications. We describe how SPINE efficiently addresses the identified requirements while providing performance analysis on the most common hardware/software sensor platforms. We also report a few high-impact BSN applications that have been entirely implemented using SPINE to demonstrate practical examples of its effectiveness and flexibility. This development experience has notably led to the definition of a SPINE-based design methodology for BSN applications. Finally, lessons learned from the development of such applications and from feedback received by the SPINE community are discussed. read more read less

Topics:

Software framework (61%)61% related to the paper, Programming paradigm (60%)60% related to the paper, Middleware (56%)56% related to the paper, Programming complexity (55%)55% related to the paper, Wireless sensor network (55%)55% related to the paper
388 Citations
Journal Article DOI: 10.1109/THMS.2013.2293535
Human–Agent Teaming for Multirobot Control: A Review of Human Factors Issues
Jessie Y. C. Chen1, Michael J. Barnes1

Abstract:

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 d... 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, and their advantages and disadvantages were discussed. In addition, two key human performance issues (trust and situation awareness) related to H-A teaming for multirobot control and some promising user interface design solutions to address these issues were discussed. Some major individual differences factors (operator spatial ability, attentional control ability, and gaming experience) were identified that may impact H-A teaming in the context of robotics control. read more read less

Topics:

Situation awareness (53%)53% related to the paper, User interface (51%)51% related to the paper, Intelligent decision support system (51%)51% related to the paper
354 Citations
Journal Article DOI: 10.1109/TSMCC.2012.2219046
EEG-Based Brain-Controlled Mobile Robots: A Survey
Luzheng Bi1, Xin-an Fan1, Yili Liu2

Abstract:

EEG-based brain-controlled mobile robots can serve as powerful aids for severely disabled people in their daily life, especially to help them move voluntarily. In this paper, we provide a comprehensive review of the complete systems, key techniques, and evaluation issues of brain-controlled mobile robots along with some insig... EEG-based brain-controlled mobile robots can serve as powerful aids for severely disabled people in their daily life, especially to help them move voluntarily. In this paper, we provide a comprehensive review of the complete systems, key techniques, and evaluation issues of brain-controlled mobile robots along with some insights into related future research and development issues. We first review and classify various complete systems of brain-controlled mobile robots into two categories from the perspective of their operational modes. We then describe key techniques that are used in these brain-controlled mobile robots including the brain-computer interface techniques and shared control techniques. This description is followed by an analysis of the evaluation issues of brain-controlled mobile robots including participants, tasks and environments, and evaluation metrics. We conclude this paper with a discussion of the current challenges and future research directions. read more read less

Topics:

Mobile robot (60%)60% related to the paper
324 Citations
open accessOpen access Journal Article DOI: 10.1109/THMS.2015.2480801
Human Interaction With Robot Swarms: A Survey
Andreas Kolling1, Phillip Walker2, Nilanjan Chakraborty3, Katia Sycara4, Michael Lewis2

Abstract:

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 dramaticall... 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, such as bioinspired robotics and control theory. These kinds of distributed systems present novel challenges for the effective integration of human supervisors, operators, and teammates that are only beginning to be addressed. This paper is the first survey of human–swarm interaction (HSI) and identifies the core concepts needed to design a human–swarm system. We first present the basics of swarm robotics. Then, we introduce HSI from the perspective of a human operator by discussing the cognitive complexity of solving tasks with swarm systems. Next, we introduce the interface between swarm and operator and identify challenges and solutions relating to human–swarm communication, state estimation and visualization, and human control of swarms. For the latter, we develop a taxonomy of control methods that enable operators to control swarms effectively. Finally, we synthesize the results to highlight remaining challenges, unanswered questions, and open problems for HSI, as well as how to address them in future works. read more read less

Topics:

Swarm robotics (62%)62% related to the paper, Swarm behaviour (55%)55% related to the paper, Robot (52%)52% related to the paper, Robot control (52%)52% related to the paper, Personal robot (52%)52% related to the paper
View PDF
312 Citations
Author Pic

SciSpace is a very innovative solution to the formatting problem and existing providers, such as Mendeley or Word did not really evolve in recent years.

- Andreas Frutiger, Researcher, ETH Zurich, Institute for Biomedical Engineering

Get MS-Word and LaTeX output to any Journal within seconds
1
Choose a template
Select a template from a library of 40,000+ templates
2
Import a MS-Word file or start fresh
It takes only few seconds to import
3
View and edit your final output
SciSpace will automatically format your output to meet journal guidelines
4
Submit directly or Download
Submit to journal directly or Download in PDF, MS Word or LaTeX

(Before submission check for plagiarism via Turnitin)

clock Less than 3 minutes

What to expect from SciSpace?

Speed and accuracy over MS Word

''

With SciSpace, you do not need a word template for IEEE Transactions on Human-Machine Systems.

It automatically formats your research paper to IEEE formatting guidelines and citation style.

You can download a submission ready research paper in pdf, LaTeX and docx formats.

Time comparison

Time taken to format a paper and Compliance with guidelines

Plagiarism Reports via Turnitin

SciSpace has partnered with Turnitin, the leading provider of Plagiarism Check software.

Using this service, researchers can compare submissions against more than 170 million scholarly articles, a database of 70+ billion current and archived web pages. How Turnitin Integration works?

Turnitin Stats
Publisher Logos

Freedom from formatting guidelines

One editor, 100K journal formats – world's largest collection of journal templates

With such a huge verified library, what you need is already there.

publisher-logos

Easy support from all your favorite tools

IEEE Transactions on Human-Machine Systems format uses IEEEtran citation style.

Automatically format and order your citations and bibliography in a click.

SciSpace allows imports from all reference managers like Mendeley, Zotero, Endnote, Google Scholar etc.

Frequently asked questions

1. Can I write IEEE Transactions on Human-Machine Systems in LaTeX?

Absolutely not! Our tool has been designed to help you focus on writing. You can write your entire paper as per the IEEE Transactions on Human-Machine Systems guidelines and auto format it.

2. Do you follow the IEEE Transactions on Human-Machine Systems guidelines?

Yes, the template is compliant with the IEEE Transactions on Human-Machine Systems guidelines. Our experts at SciSpace ensure that. If there are any changes to the journal's guidelines, we'll change our algorithm accordingly.

3. Can I cite my article in multiple styles in IEEE Transactions on Human-Machine Systems?

Of course! We support all the top citation styles, such as APA style, MLA style, Vancouver style, Harvard style, and Chicago style. For example, when you write your paper and hit autoformat, our system will automatically update your article as per the IEEE Transactions on Human-Machine Systems citation style.

4. Can I use the IEEE Transactions on Human-Machine Systems templates for free?

Sign up for our free trial, and you'll be able to use all our features for seven days. You'll see how helpful they are and how inexpensive they are compared to other options, Especially for IEEE Transactions on Human-Machine Systems.

5. Can I use a manuscript in IEEE Transactions on Human-Machine Systems that I have written in MS Word?

Yes. You can choose the right template, copy-paste the contents from the word document, and click on auto-format. Once you're done, you'll have a publish-ready paper IEEE Transactions on Human-Machine Systems that you can download at the end.

6. How long does it usually take you to format my papers in IEEE Transactions on Human-Machine Systems?

It only takes a matter of seconds to edit your manuscript. Besides that, our intuitive editor saves you from writing and formatting it in IEEE Transactions on Human-Machine Systems.

7. Where can I find the template for the IEEE Transactions on Human-Machine Systems?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per IEEE Transactions on Human-Machine Systems's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

8. Can I reformat my paper to fit the IEEE Transactions on Human-Machine Systems's guidelines?

Of course! You can do this using our intuitive editor. It's very easy. If you need help, our support team is always ready to assist you.

9. IEEE Transactions on Human-Machine Systems an online tool or is there a desktop version?

SciSpace's IEEE Transactions on Human-Machine Systems is currently available as an online tool. We're developing a desktop version, too. You can request (or upvote) any features that you think would be helpful for you and other researchers in the "feature request" section of your account once you've signed up with us.

10. I cannot find my template in your gallery. Can you create it for me like IEEE Transactions on Human-Machine Systems?

Sure. You can request any template and we'll have it setup within a few days. You can find the request box in Journal Gallery on the right side bar under the heading, "Couldn't find the format you were looking for like IEEE Transactions on Human-Machine Systems?”

11. What is the output that I would get after using IEEE Transactions on Human-Machine Systems?

After writing your paper autoformatting in IEEE Transactions on Human-Machine Systems, you can download it in multiple formats, viz., PDF, Docx, and LaTeX.

12. Is IEEE Transactions on Human-Machine Systems's impact factor high enough that I should try publishing my article there?

To be honest, the answer is no. The impact factor is one of the many elements that determine the quality of a journal. Few of these factors include review board, rejection rates, frequency of inclusion in indexes, and Eigenfactor. You need to assess all these factors before you make your final call.

13. What is Sherpa RoMEO Archiving Policy for IEEE Transactions on Human-Machine Systems?

SHERPA/RoMEO Database

We extracted this data from Sherpa Romeo to help researchers understand the access level of this journal in accordance with the Sherpa Romeo Archiving Policy for IEEE Transactions on Human-Machine Systems. The table below indicates the level of access a journal has as per Sherpa Romeo's archiving policy.

RoMEO Colour Archiving policy
Green Can archive pre-print and post-print or publisher's version/PDF
Blue Can archive post-print (ie final draft post-refereeing) or publisher's version/PDF
Yellow Can archive pre-print (ie pre-refereeing)
White Archiving not formally supported
FYI:
  1. Pre-prints as being the version of the paper before peer review and
  2. Post-prints as being the version of the paper after peer-review, with revisions having been made.

14. What are the most common citation types In IEEE Transactions on Human-Machine Systems?

The 5 most common citation types in order of usage for IEEE Transactions on Human-Machine Systems are:.

S. No. Citation Style Type
1. Author Year
2. Numbered
3. Numbered (Superscripted)
4. Author Year (Cited Pages)
5. Footnote

15. How do I submit my article to the IEEE Transactions on Human-Machine Systems?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per IEEE Transactions on Human-Machine Systems's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

16. Can I download IEEE Transactions on Human-Machine Systems in Endnote format?

Yes, SciSpace provides this functionality. After signing up, you would need to import your existing references from Word or Bib file to SciSpace. Then SciSpace would allow you to download your references in IEEE Transactions on Human-Machine Systems Endnote style according to Elsevier guidelines.

Fast and reliable,
built for complaince.

Instant formatting to 100% publisher guidelines on - SciSpace.

Available only on desktops 🖥

No word template required

Typset automatically formats your research paper to IEEE Transactions on Human-Machine Systems formatting guidelines and citation style.

Verifed journal formats

One editor, 100K journal formats.
With the largest collection of verified journal formats, what you need is already there.

Trusted by academicians

I spent hours with MS word for reformatting. It was frustrating - plain and simple. With SciSpace, I can draft my manuscripts and once it is finished I can just submit. In case, I have to submit to another journal it is really just a button click instead of an afternoon of reformatting.

Andreas Frutiger
Researcher & Ex MS Word user
Use this template