IEEE SMC: Systems, Man, & Cybernetics Society

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.

2023: New Impact Factor = 3.6

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
+1.778.782.3998
Fax: +1.778.782.4951
Check out her website here.
Email Ljiljana
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Articles

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29 April 2024
Gesture-mmWAVE: Compact and Accurate Millimeter-Wave Radar-Based Dynamic Gesture Recognition for Embedded Devices
Dynamic gesture recognition using millimeter-wave radar is a promising contactless mode of human–computer interaction with wide-ranging applications in various fields, such as intelligent homes, automatic driving, and sign language translation. However, the existing models have too many parameters and are unsuitable for embedded devices. To address this issue, we propose...
11 April 2024
Human Vital Signs Estimation Using Resonance Sparse Spectrum Decomposition
The noncontact measurement and monitoring of human vital signs has evolved into a valuable tool for efficient health management. Because of the greater penetration capability through material and clothes, which is less affected by environmental conditions such as illumination, temperature, and humidity, mmWave radar has been extensively researched for human...
11 April 2024
Human-Centered Evaluation of EMG-Based Upper-Limb Prosthetic Control Modes
The aim of this study was to experimentally test the effects of different electromyographic-based prosthetic control modes on user task performance, cognitive workload, and perceived usability to inform further human-centered design and application of these prosthetic control interfaces. We recruited 30 able-bodied participants for a between-subjects comparison of three control...
29 March 2024
AI-SenseVision: A Low-Cost Artificial-Intelligence-Based Robust and Real-Time Assistance for Visually Impaired People
Visually impaired people (VIPs) encounter various challenges in their daily lives, and there is a need for portable, user-friendly device for real-time assistance to give them guidance regarding their surroundings. This article presents an artificial-intelligence-based innovative wearable assistive device—artificial intelligence (AI)-SenseVision—to analyze visual and sensory information about the objects and...
18 March 2024
Leveraging High-Density EMG to Investigate Bipolar Electrode Placement for Gait Prediction Models
To control wearable robotic systems, it is critical to obtain a prediction of the user's motion intent with high accuracy. Surface electromyography (sEMG) recordings have often been used as inputs for these devices, however bipolar sEMG electrodes are highly sensitive to their location. Positional shifts of electrodes after training gait...

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