Wearable Computing Devices and Their Interactive Technologies

A special issue of Biomimetics (ISSN 2313-7673). This special issue belongs to the section "Bioinspired Sensorics, Information Processing and Control".

Deadline for manuscript submissions: closed (25 April 2026) | Viewed by 2633

Special Issue Editors


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Guest Editor
Department of Artificial Intelligence, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
Interests: atrial fibrillation; atrial fibrillation detection; training data; training set; ambulatory setting; deep neural network; F1 score; generative adversarial networks; neural network; PPG signal; photoplethysmography; signal quality; arrhythmia; arrhythmia alarms; atrial

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Department of Information Technology and Computer Science, Juniata College, Huntingdon, PA 16652, USA
Interests: efficient AI (e.g., pruning, distillation, quantization, NAS); multi-modalities learning; pervasive computing; AI for science
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Guest Editor
Collaborative Innovation Center of Advanced Microstructures, School of Electronic Science and Engineering, Nanjing University, Nanjing 210093, China
Interests: skin inspired electronics; conducting polymers; wearable devices; bioelectronics and photoelectronics; biomimetic electronics; flexible electronics

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Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
Interests: flexible electronic materials and devices; skin-inspired sensors; carbon-based sensors; artificial muscle
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Wearable computing devices have evolved into versatile technologies that enhance health, mobility, and human–computer interaction. This Special Issue highlights recent advances in wearable systems, focusing on health monitoring applications, exoskeleton robots, and next-generation interactive technologies.

In healthcare, wearable sensors embedded in watches, patches, textiles, and skin-like devices enable continuous monitoring of physiological parameters such as heart rate, blood oxygen, glucose levels, and sleep quality. Coupled with artificial intelligence and edge computing, these systems can detect early signs of cardiovascular, metabolic, and sleep disorders, supporting preventive and personalized medicine.

Exoskeleton robots represent another critical technology in this area, providing physical augmentation and rehabilitation support. Advances in biomechanics modeling, adaptive control strategies, and sensor fusion allow exoskeletons to assist industrial workers, improve mobility in older adults, and restore motor function in patients recovering from stroke or spinal cord injury.

Equally important are innovations in human–computer interaction. Moving beyond traditional touch and voice control, wearable technologies now incorporate gesture recognition, bioelectrical signals, haptic feedback, and brain–computer interfaces. These interactive approaches provide more natural, intuitive, and immersive experiences, even in complex real-world environments.

Together, these developments demonstrate the transformative potential of wearable computing to reshape healthcare, rehabilitation, and everyday human–machine integration.

Dr. Cheng Ding
Dr. Jianyuan Ni
Prof. Dr. Lijia Pan
Dr. Dapeng Wei
Guest Editors

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Keywords

  • wearable computing
  • health monitoring
  • exoskeleton robots
  • human–computer interaction
  • artificial intelligence

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Published Papers (1 paper)

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Research

11 pages, 1018 KB  
Article
Perceptual Design and Evaluation of a Forearm-Based Vibrotactile Interface for Transfemoral Prosthetic Feedback
by Mohammadmahdi Karimi, Sigurður Brynjólfsson, Kristín Briem, Árni Kristjánsson and Runar Unnthorsson
Biomimetics 2026, 11(2), 112; https://doi.org/10.3390/biomimetics11020112 - 4 Feb 2026
Cited by 1 | Viewed by 722
Abstract
The lack of reliable sensory input from prosthetic limbs limits transfemoral amputees’ ability to perceive limb movement without visual monitoring. This study evaluated design parameters of a proposed forearm-based vibrotactile system in a pre-clinical, design-level perceptual evaluation, conveying prosthetic joint positions through patterned [...] Read more.
The lack of reliable sensory input from prosthetic limbs limits transfemoral amputees’ ability to perceive limb movement without visual monitoring. This study evaluated design parameters of a proposed forearm-based vibrotactile system in a pre-clinical, design-level perceptual evaluation, conveying prosthetic joint positions through patterned vibrations to provide non-invasive proprioceptive feedback. Healthy participants completed two experiments assessing detection of tactile cues from dual-actuator bands on the wrist and elbow representing assumed ankle and knee positions. The effects of temporal structuring (sequential vs. simultaneous stimulation), actuator configuration, amplitude and frequency settings, and signal duration on response accuracy were examined. Sequential vibrations produced significantly higher recognition accuracy than simultaneous presentation (72.4% vs. 42.7%, p < 0.001) in a variety of vibration signal parameter values. Actuator placement also influenced performance: simultaneous stimulation on opposite forearm sides yielded significantly lower accuracy (p < 0.001) than same-side configurations, whereas this directional effect was not significant for sequential presentation. Accuracy did not differ significantly between equal and unequal amplitude or frequency levels across actuators. Longer stimulus durations improved accuracy, increasing from 82.3% at 60 ms to 92.5% at 240 ms, though the results indicated a saturation point, suggesting an optimal temporal window. These findings inform the design of forearm-based sensory feedback systems for improved prosthetic limb control. Full article
(This article belongs to the Special Issue Wearable Computing Devices and Their Interactive Technologies)
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