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Advanced Technologies, Wearable Devices and Smartphones: Improving Accessibility and Inclusion for Older and Disabled People

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Wearables".

Deadline for manuscript submissions: 31 October 2025 | Viewed by 189

Special Issue Editors


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Guest Editor
Biomedical Engineering, University of Glasgow, Glasgow G12 8QQ, UK
Interests: assistive technology; with related work in design
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Computer Science, University of Pisa & ISTI-CNR, Pisa, Italy
Interests: human-computer interaction; assistive technology; wearable technology

Special Issue Information

Dear Colleagues,

Technologies, including artificial intelligence, deep and machine learning, the Internet of Things, camera vision and robotics, have the potential to help overcome the barriers to autonomy experienced by disabled and older people. Wearable devices are increasingly popular and can provide hands-free use or be incorporated into or look like garments, reducing stigma. Smartphones have considerable potential due to their widespread adoption, high and increasing processing power and provision of sensors. Technological advices present considerable opportunities for personalised and context-aware solutions. For instance, AI could be used to provide real-time speech transcription, gesture recognition or navigation assistance tailored to user preferences. However, there are also challenges and risks, including ensuring full accessibility and avoiding control and bias and managing privacy and security issues and an appropriate balance between technological and human assistance. The Special Issue invites contributions that explore innovative applications of technologies including AI, IoT, sensors, wearable devices and smartphones to improve the accessibility, autonomy and participation of disabled and older people. Submissions may include case studies of new devices and systems or end-user involvement in design, experimental research, literature reviews, and interdisciplinary approaches that bridge technology, healthcare, employment or education, and social sciences. All papers should have an original contribution.

Dr. Marion Hersh
Dr. Barbara Leporini
Guest Editors

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Keywords

  • older and disabled people
  • artificial intelligence
  • wearable devices
  • deep and machine learning
  • Internet of Things
  • robotics

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Published Papers (1 paper)

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Research

23 pages, 1962 KB  
Article
A Home-Based Balance Exercise Training Program with Intermittent Visual Deprivation for Persons with Chronic Incomplete Spinal Cord Injury: A Pilot Study on Feasibility, Acceptability, and Preliminary Outcomes
by Riccardo Bravi, Sara Guarducci, Giulia Panconi, Magdalena Sicher, Lorenzo Mucchi, Giacomo Lucchesi, Gabriele Righi, Giulio Del Popolo and Diego Minciacchi
Sensors 2025, 25(20), 6320; https://doi.org/10.3390/s25206320 (registering DOI) - 13 Oct 2025
Abstract
Incomplete spinal cord injury (iSCI) results in impaired postural control and walking ability. Visual over-reliance may occur in iSCI individuals to maintain postural control. This can challenge their postural stability in various contexts of daily life activities. The present study assessed the feasibility, [...] Read more.
Incomplete spinal cord injury (iSCI) results in impaired postural control and walking ability. Visual over-reliance may occur in iSCI individuals to maintain postural control. This can challenge their postural stability in various contexts of daily life activities. The present study assessed the feasibility, acceptability, and preliminary outcomes of balance training with intermittent visual deprivation using stroboscopic glasses on postural control and visual reliance during quiet standing in iSCI individuals. Training impact on walking performance was also evaluated. Seven chronic iSCI individuals participated in a 6-week home-based balance training program, three times weekly, using stroboscopic glasses. Postural and walking abilities were assessed pre- and post-training using a bipedal stance test (BST) and 10 m walking test (10 MWT). BST was performed, with open-eyes (OE) and closed-eyes (CE), on a force plate for three 30 s trials. The center of pressure (CoP) variables included were CoP area (A-CoP) and CoP mean velocity (MV-CoP). Romberg ratios (CE/OE) for two CoP variables were calculated. Duration and speed were measured in 10 MWT. Intervention feasibility was assessed using the feasibility and acceptability questionnaire. Data from able-bodied individuals were recorded and used as references of physiological performance. iSCI individuals were significantly less stable and showed visual over-reliance for postural steadiness compared to controls. Also, their walking ability was impaired. All iSCI individuals completed the training (adherence rate: 84%) and rated it highly feasible. A-CoP and MV-CoP significantly reduced after training in CE condition (p = 0.018, respectively) but not in OE condition (p > 0.05). The Romberg ratio of A-CoP was significantly lower (p = 0.018), but the Romberg ratio of MV-CoP was not (p > 0.05). A significant reduction in duration and increase in speed (p = 0.018, respectively) in performing the 10 MWT were observed. Preliminary findings from this explorative study indicated that 6-week home-based balance training with intermittent visual deprivation was feasible, acceptable, and had promising potential benefits in improving postural control with a reduction in visual over-reliance in iSCI individuals. The training enhanced also their walking performance. Full article
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