Transactions on Human Machine Systems

Scope

The scope of the IEEE Transactions on Human-Machine Systems includes the field of human-machine systems. It covers human systems and human organizational interactions including cognitive ergonomics, system test and evaluation, and human information processing concerns in systems and organizations.

IEEE Transactions on Human-Machine Systems was launched on January 1, 2013 to replace the human-machine systems sections of IEEE Transactions on Systems, Man and Cybernetics.

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Listen to David Kaber’s interview with Rodney Roberts (SMC VP for Systems Science & Engineering) on the current state of THMS, the Journal’s review process, key requirements for submissions, and upcoming special issue information.

2024: New Impact Factor = 3.5

Editor-in-Chief

Ljiljana Trajkovic
Ljiljana Trajkovic
Editor-In-Chief
Professor
School of Engineering Science
Simon Fraser University
8888 University Drive
Burnaby, BC V5A 1S6
Canada
Tel.: 1.604.519.1776
1.604.345.7705 (mobile)
Email Ljiljana Trajkovic

Articles

25 April 2025
In brain–computer interface (BCI) applications, imagined speech (IMS) decoding based on electroencephalogram (EEG) has established a new neuro-paradigm that offers an intuitive communication tool for physically impaired patients. However, existing IMS–EEG-based BCI systems have introduced difficulties in feasible deployment due to nonstationary EEG signals, suboptimal feature extraction, and limited multiclass...
18 April 2025
Redundantly actuated parallel mechanisms (RAPMs) have been widely adopted in advanced robotic systems and precision machine tools. It has been demonstrated that redundant actuation can improve the performance of mechatronic systems but introduce challenges with respect to control. One main difficulty is in establishing an accurate dynamic model of the...
07 April 2025
Imagination is a significant mental activity of human beings that can serve as a brain-computer interaction (BCI) paradigm, and visual imagery (VI) has become a relatively new BCI paradigm. VI is the ability to form visual representations in short-term memory without retinal input, offering users advantages like safety and rich...
04 March 2025
Virtual fixture is a powerful tool to improve safety and efficiency for co-manipulation tasks. However, traditional virtual fixtures with constant stiffness are inadequate for scenarios where robots need to leave the constraints to perform tasks. To address this, we propose an adaptive virtual fixture based on the motion refinement tube,...
21 February 2025
Recent years have witnessed a growing interest in Wi-Fi-based gesture recognition. However, existing works have predominantly focused on closed-set paradigms, where all testing gestures are predefined during training. This poses a significant challenge in real-world applications, as unseen gestures might be misclassified as known class during testing. To address this...

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