Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
7.0
2.9
Journals
Electronics
Special Issues
Wearable Sensors for Human Position, Attitude and Motion Tracking: 2nd...
electronics-logo
Submit to Special Issue Submit Abstract to Special Issue Review for Electronics Propose a Special Issue

Journal Menu

► Journal Menu

Journal Browser

► Journal Browser
share announcement

Wearable Sensors for Human Position, Attitude and Motion Tracking: 2nd Edition

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".

Deadline for manuscript submissions: 15 August 2026 | Viewed by 1066

Editor

Dr. Lei Jing

E-Mail Website
Guest Editor
Graduate School of Computer Science and Engineering, The University of Aizu, Tsuruga, Ikki-machi, Aizuwakamatsu 965-8580, Japan
Interests: wearable devices; AI; communication and network engineering
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Advances in wearable sensor technologies have revolutionized the way we monitor and analyse human movement, enabling breakthroughs across various domains, including healthcare, sports, human–computer interaction, and robotics. Wearable sensors, such as inertial measurement units (IMUs), tactile sensors, optical sensors, and biosensors, have become essential tools for tracking human position, attitude, and motion with high precision, portability, and real-time capabilities. These technologies offer unprecedented opportunities for personalized monitoring, rehabilitation, and performance optimization in dynamic and diverse environments.

This Special Issue of Electronics focuses on the design, implementation, and applications of wearable sensor systems for human position, attitude, and motion tracking. It highlights cutting-edge research and interdisciplinary approaches for addressing challenges in sensor design, data processing, and integration. 

Dr. Lei Jing
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • wearable sensor design
  • data glove
  • e-textile sensor
  • multimodal sensing
  • data fusion
  • daily activity recognition
  • motion tracking
  • deep data processing
  • machine learning in motion tracking
  • position tracking
  • IMU
  • gait analysis
  • biomechanics
  • real-time tracking system
  • body area networks
  • smart clothing
  • signal processing for wearables

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Related Special Issue

Published Papers (2 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

17 pages, 5514 KB  
Article
Kyudo Practice System Using VR and Motion Sensors
by Taiki Ichikawa, Nirupam Patil and Lei Jing
Electronics 2026, 15(14), 3135; https://doi.org/10.3390/electronics15143135 - 16 Jul 2026
Viewed by 275
Abstract
This paper presents a Virtual Reality (VR)-based kyudo form practice system using wearable inertial measurement unit (IMU) sensors and hand tracking to support solo training of Syaho-Hassetsu (the eight shooting stages). The system estimates the practitioner’s motion, segments it into stages with a [...] Read more.
This paper presents a Virtual Reality (VR)-based kyudo form practice system using wearable inertial measurement unit (IMU) sensors and hand tracking to support solo training of Syaho-Hassetsu (the eight shooting stages). The system estimates the practitioner’s motion, segments it into stages with a time-aware finite-state machine, and provides stage-specific visual guidance inside a head-mounted display. To reduce individual differences, the system introduces a simple user measurement (fingertip-to-body midline length) to scale key distances such as stance width and draw length thresholds. The implementation is built in Unity and designed for real-time use on a standalone VR headset connected to an external motion-sensing pipeline. We position this work as a system-implementation and feasibility study: rather than asserting training effectiveness, our aim is to demonstrate that the proposed system can be realized and to report initial feasibility observations. In a small preliminary evaluation, results suggest VR guidance may improve stance-width consistency, and we treat these findings as feasibility evidence rather than conclusive proof of effectiveness. Full article
(This article belongs to the Special Issue Wearable Sensors for Human Position, Attitude and Motion Tracking: 2nd Edition)
►▼ Show Figures

Figure 1

24 pages, 10002 KB  
Article
A Wireless Analog Interface with Near Frame-Accurate Synchronization for Optical Motion Capture
by Taylor M. Pierce, Emerson Noble, Lucas Davis, Jesus Wilkins and Kenneth J. Loh
Electronics 2026, 15(13), 2787; https://doi.org/10.3390/electronics15132787 - 24 Jun 2026
Viewed by 433
Abstract
Human kinematic analysis is an increasingly important tool in biomechanics, human performance, and wearable sensing research. Many emerging sensing modalities utilize custom sensors requiring accurate temporal alignment with ground-truth biomechanical movement data. Optical motion capture systems provide high-fidelity kinematic measurements but operate as [...] Read more.
Human kinematic analysis is an increasingly important tool in biomechanics, human performance, and wearable sensing research. Many emerging sensing modalities utilize custom sensors requiring accurate temporal alignment with ground-truth biomechanical movement data. Optical motion capture systems provide high-fidelity kinematic measurements but operate as closed, self-contained systems, making time synchronization with external sensor data non-trivial, particularly in wireless and mobile contexts. This work presents a wireless analog interface system built using commercially available components that enables alignment between analog sensor data (e.g., from custom wearables and Internet-of-Things devices) and a commercial motion capture system. The proposed architecture consists of a wearable data acquisition node and a receiver node interfaced directly with an optical motion capture system, allowing synchronized recording of analog sensor signals alongside kinematic data. Notably, the system reconstructs signals into the commercial hardware interface rather than relying on triggers or sync outputs, resulting in a single data file containing kinematics and sensor readings. Benchtop testing demonstrated a mean end-to-end frame delay of ~6 ms, with 95% of the sample exhibiting delay within 15 ms. Accounting for the typical offset, this leaves a standard deviation of 4 ms, within one motion capture frame of the true timestamp (at 100 Hz). Voltage reconstruction accuracy was within 30 mV across the tested conditions, with gain compression below 2.7%. Adjacent channel crosstalk remained below −83 dB across all test conditions. The use of commercial off-the-shelf components supports replication and adaptation by other research groups and integration with different optical motion capture systems. Full article
(This article belongs to the Special Issue Wearable Sensors for Human Position, Attitude and Motion Tracking: 2nd Edition)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-2
Back to TopTop