Transactions on Human Machine Systems


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.

English language editing services can help refine the language of your article and reduce the risk of rejection without review. IEEE authors are eligible for a 10% discount at American Journal Experts; visit to learn more. Please note these services are fee-based and do not guarantee acceptance.

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.

2020: New Impact Factor = 3.374


Ljiljana Trajkovic
Ljiljana Trajkovic
School of Engineering Science
Simon Fraser University
8888 University Drive
Burnaby, BC V5A 1S6


16 September 2022
Traditional applications of robot manipulators are mainly limited to tracking control tasks, in which the desired objectives are specified as desired positions or trajectories. In such applications, a convenient and easy way of programming robots is the traditional teach-and-playback method. However, advances in sensing and robotic technologies have led to...
16 September 2022
Most existing teleoperation technologies cannot guide robots to complete tasks quickly and accurately in unstructured environments. Therefore, this article proposes an intelligent interaction framework for teleoperation based on human-machine cooperation. The framework is divided into three layers: 1) perception, 2) decision-making, and 3) execution layers. In the perception layer, machines...

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01 August 2022
In this article, we apply the method of spatio-temporal filtering (STF) to electroencephalographic (EEG) data processing for brain responses classification. The method operates similarly to linear discriminant analysis (LDA) but contrary to most applied classifiers, it uses the whole recorded EEG signal as a source of information instead of the...
01 August 2022
This article studies the problem of multiobjective control design for a class of human–machine systems (HMSs) with safety performance constraints containing state constraints and input constraints. The HMSs under consideration not only monitor the human but also need to take proper actions to both the human and machine. A model...

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