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Sensors, Volume 23, Issue 21

November-1 2023 - 357 articles

Cover Story: In Industry 5.0, human–robot collaboration (HRC) enhances factory automation. Collaborative robots (cobots) ensure worker safety, but HRC may lead to mental stress and cognitive workload issues. Our research focuses on factory workers’ cognitive load under varying task conditions, examining their effect on subjective, behavioural, and physiological measures. We aim to predict traditional measures through physiological data. This study addresses the need for neuroergonomics in manufacturing to create a stress-free environment for employees working with cobots. View this paper
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Articles (357)

  • Article
  • Open Access
9 Citations
3,268 Views
19 Pages

6 November 2023

This paper presents a cooperative control method for connected and automated vehicle (CAV) platooning, thus specifically addressing the challenge of sensor measurement errors that can disrupt the stability of the CAV platoon. Initially, the state-spa...

  • Article
  • Open Access
11 Citations
3,393 Views
25 Pages

6 November 2023

Unmanned aerial vehicles (UAV) can be controlled in diverse ways. One of the most common is through artificial intelligence (AI), which comprises different methods, such as reinforcement learning (RL). The article aims to provide a comparison of thre...

  • Article
  • Open Access
4 Citations
2,621 Views
14 Pages

6 November 2023

Wearable 2.0 research has been conducted on the manufacture of smart fitness wear that collects bio-signals through the wearing of a textile-based electrode. Among them, the electromyography (EMG) suit measures the electrical signals generated by the...

  • Article
  • Open Access
4 Citations
2,670 Views
19 Pages

6 November 2023

In an integral imaging (II) display system, the self-adjustment ability of the human eye can result in blurry observations when viewing 3D targets outside the focal plane within a specific range. This can impact the overall imaging quality of the II...

  • Article
  • Open Access
4 Citations
2,695 Views
21 Pages

6 November 2023

In this work, the impact of implementing Deep Reinforcement Learning (DRL) in predicting the channel parameters for user devices in a Power Domain Non-Orthogonal Multiple Access system (PD-NOMA) is investigated. In the channel prediction process, DRL...

  • Article
  • Open Access
2 Citations
2,371 Views
11 Pages

6 November 2023

Hydrogen has emerged as a promising carbon-neutral fuel source, spurring research and development efforts to facilitate its widespread adoption. However, the safe handling of hydrogen requires precise leak detection sensors due to its low activation...

  • Article
  • Open Access
12 Citations
2,350 Views
12 Pages

Quartz-Enhanced Photoacoustic Sensor Based on a Multi-Laser Source for In-Sequence Detection of NO2, SO2, and NH3

  • Pietro Patimisco,
  • Nicoletta Ardito,
  • Edoardo De Toma,
  • Dominik Burghart,
  • Vladislav Tigaev,
  • Mikhail A. Belkin and
  • Vincenzo Spagnolo

6 November 2023

In this work, we report on the implementation of a multi-quantum cascade laser (QCL) module as an innovative light source for quartz-enhanced photoacoustic spectroscopy (QEPAS) sensing. The source is composed of three different QCLs coupled with a di...

  • Article
  • Open Access
10 Citations
3,719 Views
16 Pages

A Deep Learning Approach for Automatic and Objective Grading of the Motor Impairment Severity in Parkinson’s Disease for Use in Tele-Assessments

  • Mehar Singh,
  • Prithvi Prakash,
  • Rachneet Kaur,
  • Richard Sowers,
  • James Robert Brašić and
  • Manuel Enrique Hernandez

6 November 2023

Wearable sensors provide a tool for at-home monitoring of motor impairment progression in neurological conditions such as Parkinson’s disease (PD). This study examined the ability of deep learning approaches to grade the motor impairment severi...

  • Brief Report
  • Open Access
2 Citations
1,540 Views
6 Pages

Automatic Alignment Method for Controlled Free-Space Excitation of Whispering-Gallery Resonances

  • Davide D’Ambrosio,
  • Marialuisa Capezzuto,
  • Antonio Giorgini,
  • Pietro Malara,
  • Saverio Avino and
  • Gianluca Gagliardi

6 November 2023

Whispering-gallery mode microresonators have gained wide popularity as experimental platforms for different applications, ranging from biosensing to nonlinear optics. Typically, the resonant modes of dielectric microresonators are stimulated via evan...

  • Article
  • Open Access
5 Citations
3,439 Views
16 Pages

Smartphone Photogrammetric Assessment for Head Measurements

  • Omar C. Quispe-Enriquez,
  • Juan José Valero-Lanzuela and
  • José Luis Lerma

6 November 2023

The assessment of cranial deformation is relevant in the field of medicine dealing with infants, especially in paediatric neurosurgery and paediatrics. To address this demand, the smartphone-based solution PhotoMeDAS has been developed, harnessing mo...

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Sensors - ISSN 1424-8220