Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
7.3
3.4
Journals
Sensors
Special Issues
Intelligent Sensors and Robots for Ambient Assisted Living
sensors-logo
Submit to Special Issue Submit Abstract to Special Issue Review for Sensors Propose a Special Issue

Journal Menu

► Journal Menu

Journal Browser

► Journal Browser
share announcement

Intelligent Sensors and Robots for Ambient Assisted Living

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

Deadline for manuscript submissions: 30 April 2025 | Viewed by 4334

Special Issue Editor

Prof. Dr. Philippe Gorce

E-Mail Website
Guest Editor
International Institute of Biomechanics and Occupational Ergonomics, Université de Toulon, CS60584, 83041 Toulon, France
Interests: musculoskeletal disorders; systematic reviews and meta-analysis; occupational health; ergonomics; biomechanics; MSD prevalence; safety; public health
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

One of the challenges of the 21st century will be providing independent living assistance for the elderly and disabled. This aims to support informal and professional care-giving, to enhance the quality of life of older or disabled individuals, and enable them to live longer in their own homes safely and independently. Assisted living means developments and innovations in smart homes, social robots, human activity recognition, healthcare, emergency services, and health monitoring. In recent years, this field has benefited from emerging and innovative technologies from the fields of sensing, computing, robotics, and artificial intelligence.

This Special Issue on smart sensors and robots for Ambient Assisted Living aims to publish innovative research papers that present the latest theoretical advances or showcase the latest developments or emerging technologies in the applications of the following: robotic assistance for the elderly and disabled, healthcare, remote human monitoring, wearable biosensors, social robots, and artificial intelligence. Papers in the following fields are welcome:

  • Ambient intelligent systems;
  • Intelligent sensors;
  • Social Robotics;
  • Human–robot interaction;
  • Deep learning;
  • Medical diagnostics;
  • Biosignal processing for the recognition of human action;
  • Current state-of-the-art and future trends of ambient assisted living.

Prof. Dr. Philippe Gorce
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 100 words) can be sent to the Editorial Office for announcement on this website.

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-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors 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 2600 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.

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.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

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

Published Papers (1 paper)

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

Other

26 pages, 1287 KiB  
Systematic Review
A State-of-the-Art of Exoskeletons in Line with the WHO’s Vision on Healthy Aging: From Rehabilitation of Intrinsic Capacities to Augmentation of Functional Abilities
by Rebeca Alejandra Gavrila Laic, Mahyar Firouzi, Reinhard Claeys, Ivan Bautmans, Eva Swinnen and David Beckwée
Sensors 2024, 24(7), 2230; https://doi.org/10.3390/s24072230 - 30 Mar 2024
Cited by 3 | Viewed by 3789
Abstract
The global aging population faces significant health challenges, including an increasing vulnerability to disability due to natural aging processes. Wearable lower limb exoskeletons (LLEs) have emerged as a promising solution to enhance physical function in older individuals. This systematic review synthesizes the use [...] Read more.
The global aging population faces significant health challenges, including an increasing vulnerability to disability due to natural aging processes. Wearable lower limb exoskeletons (LLEs) have emerged as a promising solution to enhance physical function in older individuals. This systematic review synthesizes the use of LLEs in alignment with the WHO’s healthy aging vision, examining their impact on intrinsic capacities and functional abilities. We conducted a comprehensive literature search in six databases, yielding 36 relevant articles covering older adults (65+) with various health conditions, including sarcopenia, stroke, Parkinson’s Disease, osteoarthritis, and more. The interventions, spanning one to forty sessions, utilized a range of LLE technologies such as Ekso®, HAL®, Stride Management Assist®, Honda Walking Assist®, Lokomat®, Walkbot®, Healbot®, Keeogo Rehab®, EX1®, overground wearable exoskeletons, Eksoband®, powered ankle–foot orthoses, HAL® lumbar type, Human Body Posturizer®, Gait Enhancing and Motivation System®, soft robotic suits, and active pelvis orthoses. The findings revealed substantial positive outcomes across diverse health conditions. LLE training led to improvements in key performance indicators, such as the 10 Meter Walk Test, Five Times Sit-to-Stand test, Timed Up and Go test, and more. Additionally, enhancements were observed in gait quality, joint mobility, muscle strength, and balance. These improvements were accompanied by reductions in sedentary behavior, pain perception, muscle exertion, and metabolic cost while walking. While longer intervention durations can aid in the rehabilitation of intrinsic capacities, even the instantaneous augmentation of functional abilities can be observed in a single session. In summary, this review demonstrates consistent and significant enhancements in critical parameters across a broad spectrum of health conditions following LLE interventions in older adults. These findings underscore the potential of LLE in promoting healthy aging and enhancing the well-being of older adults. Full article
(This article belongs to the Special Issue Intelligent Sensors and Robots for Ambient Assisted Living)
►▼ Show Figures

Figure 1

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