Symmetry/Asymmetry in Human Movement and Sensors Applied in Bioengineering

A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Life Sciences".

Deadline for manuscript submissions: 31 May 2026 | Viewed by 765

Special Issue Editor


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Guest Editor
Ingenieria Mecanica, Universidad de Ingenieria y Tecnologia—UTEC, Lima, Peru
Interests: biomechanics of human movement; real-time kinematic computation in virtual reality; sensor-based motion tracking for neurorehabilitation and gaming; wearable devices for gait and movement analysis; quaternion-based algorithms for joint disease detection; integration of OpenSenseRT with VR platforms; biomechanics of sports performance and clinical movement analysis

Special Issue Information

Dear Colleagues,

This Special Issue focuses on exploring the role of symmetry and asymmetry in human movement, with applications in bioengineering. It seeks contributions that investigate the biomechanical and physiological implications of symmetry/asymmetry in movement patterns, as well as the innovative use of sensors in measuring these phenomena. By understanding how symmetry impacts human motion, this Special Issue aims to enhance diagnostic and therapeutic approaches in fields such as rehabilitation, sports science, and clinical movement analysis.

Prof. Dr. Wangdo Kim
Guest Editor

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Keywords

  • symmetry in biomechanics
  • asymmetry in human movement
  • sensors in bioengineering
  • gait analysis
  • biomechanical modeling
  • movement disorder diagnosis
  • rehabilitation technology
  • wearable sensors
  • motion tracking systems
  • symmetry in neurorehabilitation

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Published Papers (1 paper)

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Research

15 pages, 1199 KB  
Article
Wearable Activity Monitors to Quantify Gait During Stroke Rehabilitation: Data from a Pilot Randomised Controlled Trial Examining Auditory Rhythmical Cueing
by Christopher Buckley, Lisa Shaw, Patricia McCue, Philip Brown, Silvia Del Din, Richard Francis, Heather Hunter, Allen Lambert, Lynn Rochester and Sarah A. Moore
Symmetry 2025, 17(10), 1640; https://doi.org/10.3390/sym17101640 - 3 Oct 2025
Viewed by 310
Abstract
Hemiparesis is a disabling consequence of stroke, causing abnormal gait patterns with biomechanical asymmetries. Gait mechanics for stroke survivors appear resistant to conventional rehabilitation. Auditory rhythmical cueing (ARC) represents an emerging intervention option. To determine effective gait interventions, objective measures of gait collected [...] Read more.
Hemiparesis is a disabling consequence of stroke, causing abnormal gait patterns with biomechanical asymmetries. Gait mechanics for stroke survivors appear resistant to conventional rehabilitation. Auditory rhythmical cueing (ARC) represents an emerging intervention option. To determine effective gait interventions, objective measures of gait collected from real-world environments may be required in addition to standard clinical outcomes to aid understanding of gait mechanics. This study reports on the ability of wearable activity monitors to quantify an ARC intervention for fifty-nine stroke survivors randomised into an ARC gait and balance training programme or an equivalent training programme without ARC. Gait assessments were undertaken at baseline and at 6 weeks for 4-metre walks and continuously for 7 days following each home assessment using a wearable activity monitor. The success rates of data collection using the wearable activity monitors ranged from 64 to 95%. Forty-eight Digital Mobility Outcomes representing a broad range of gait mechanics were calculated. Visualisation of all DMOs using radar plots indicated changes from baseline in both groups, with individual data indicating large variability in response to the intervention and control programme. Including wearable activity monitors to evaluate gait interventions for stroke survivors provides additional value to traditional methods and aids understanding of individual responses; as such, they should be used for future intervention-based research. Full article
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