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Sensors Network and Wearables for People Activities and Wellbeing Monitoring

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

Deadline for manuscript submissions: 20 September 2024 | Viewed by 1332

Special Issue Editors


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Guest Editor
Department of Industrial Engineering and Mathematical Sciences, Università Politecnica delle Marche, v. Brecce Bianche 12, 60131 Ancona, Italy
Interests: non-invasive measurement techniques; measurement procedures; measurement uncertainty; active and assisted-living solutions; sensors network; physiological and environmental signals; AI; comfort and wellbeing
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Industrial Engineering and Mathematical Sciences, Università Politecnica delle Marche, v. Brecce Bianche 12, 60131 Ancona, Italy
Interests: non-invasive measurement techniques; measurement procedures; measurement uncertainty; wearable sensors; physiological signals; comfort and wellbeing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The development of sensor networks and wearable technologies over the past years has given the possibility of extracting activities and behavioural parameters of people just using low-cost and non-invasive systems. Indeed, the gathered data can be processed with dedicated techniques, often based on artificial intelligence technologies. The monitoring of activities through non-invasive sensor networks and wearable sensors has been demonstrated to be able to depict the user’s well-being, comfort, and global health status in living environments, both indoors and outdoors.

In this Special Issue, we call for papers presenting innovative solutions and signal processing techniques, e.g., artificial intelligence, to measure the wellbeing and activities of people in living environments, both indoor and outdoor, through sensors network and wearable sensors. The papers should properly consider the accuracy in the measurement of such quantities.

Dr. Sara Casaccia
Dr. Gloria Cosoli
Guest Editors

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.

Keywords

  • sensor networks
  • wearable sensors
  • well-being
  • health
  • comfort
  • measurements
  • accuracy
  • living environment
  • data processing
  • artificial intelligence

Published Papers (1 paper)

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Research

13 pages, 8793 KiB  
Article
Agreement between Optoelectronic System and Wearable Sensors for the Evaluation of Gait Spatiotemporal Parameters in Progressive Supranuclear Palsy
by Carlo Ricciardi, Noemi Pisani, Leandro Donisi, Filomena Abate, Marianna Amboni, Paolo Barone, Marina Picillo, Mario Cesarelli and Francesco Amato
Sensors 2023, 23(24), 9859; https://doi.org/10.3390/s23249859 - 16 Dec 2023
Viewed by 960
Abstract
The use of wearable sensors for calculating gait parameters has become increasingly popular as an alternative to optoelectronic systems, currently recognized as the gold standard. The objective of the study was to evaluate the agreement between the wearable Opal system and the optoelectronic [...] Read more.
The use of wearable sensors for calculating gait parameters has become increasingly popular as an alternative to optoelectronic systems, currently recognized as the gold standard. The objective of the study was to evaluate the agreement between the wearable Opal system and the optoelectronic BTS SMART DX system for assessing spatiotemporal gait parameters. Fifteen subjects with progressive supranuclear palsy walked at their self-selected speed on a straight path, and six spatiotemporal parameters were compared between the two measurement systems. The agreement was carried out through paired data test, Passing Bablok regression, and Bland-Altman Analysis. The results showed a perfect agreement for speed, a very close agreement for cadence and cycle duration, while, in the other cases, Opal system either under- or over-estimated the measurement of the BTS system. Some suggestions about these misalignments are proposed in the paper, considering that Opal system is widely used in the clinical context. Full article
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