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Proximity Detection through Sensing Technology

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

Deadline for manuscript submissions: closed (15 July 2023) | Viewed by 3395

Special Issue Editors

ISTI-CNR, Institute of Information Science and Technologies, 56124 Pisa, Italy
Interests: ambient intelligence; crowdsensing; pervasive computing
Special Issues, Collections and Topics in MDPI journals
Institute of Information Science and Technologies, National Research Council, 1-56124 Pisa, Italy
Interests: pervasive computing; ambient intelligence; ambient assisted living; indoor localization; pattern recognition
Special Issues, Collections and Topics in MDPI journals
Hochschule für Technik Stuttgart · Faculty of Computer Science, Geomatics and Mathematics, Stuttgart, Germany
Interests: pervasive computing; ambient intelligence; ambient assisted living; indoor localization
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

How close are you to another person? How far are you from an artwork? Who is nearby? These are a few of the many research challenges encountered while coping with a growing trend often referred to as proximity. Proximity refers to the capability of estimating the distance between objects, people, or a combination of them in an automatic way, so as to automatize specific actions.

Some notable examples are the possibilities of broadcasting advertisement messages when people get close to a point of interest, opening a door when people walk towards a direction, or advising people when they come in touch with an infected subject.

This Special Issue moves towards this direction. In particular, we call for novel scientific contributions addressing the many facets of proximity by exploiting sensing technologies such as Bluetooth, WiFi 6, ultra-wideband, and the upcoming 5G. The goal is to detail the current state of the art of proximity and how it can be implemented with available or nearly available technologies that change the way we perceive the surrounding environment.

Topics of interest include but are not limited to the following:

  • Detecting gatherings among people (social interaction detection)
  • Indoor localization systems for proximity estimation
  • 5G networks for proximity and location-aware applications
  • Bluetooth low-energy beaconing and beyond
  • Improving accuracy and reliability of location-based services
  • Device-free proximity detection
  • Location beyond navigation—asset and network management
  • Geo-fencing and microlocations
  • Hyperlocal marketing
  • Technologies for short-distance phone-to-phone ranging

Dr. Michele Girolami
Dr. Filippo Palumbo
Dr. Stefan Knauth
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.

Published Papers (2 papers)

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Research

14 pages, 3941 KiB  
Article
The Simultaneous Assessment of Time and Motion Response during Dual Tasks
Sensors 2023, 23(11), 5309; https://doi.org/10.3390/s23115309 - 03 Jun 2023
Viewed by 1255
Abstract
Measurement of reaction time in clinical settings is generally employed to assess cognitive abilities by having a subject perform standard simple tests. In this study, a new method of measuring response time (RT) was developed using a system composed of LEDs that emit [...] Read more.
Measurement of reaction time in clinical settings is generally employed to assess cognitive abilities by having a subject perform standard simple tests. In this study, a new method of measuring response time (RT) was developed using a system composed of LEDs that emit light stimuli and are equipped with proximity sensors. The RT is measured as the time taken by the subject to turn off the LED target by moving the hand towards the sensor. Through an optoelectronic passive marker system, the associated motion response is assessed. Two tasks of 10 stimuli each were defined: simple reaction time and recognition reaction time tasks. To validate the method implemented to measure RTs, the reproducibility and repeatability of the measurements were estimated, and, to test the method’s applicability, a pilot study was conducted on 10 healthy subjects (6 females and 4 males, age = 25 ± 2 years), reporting, as expected, that the response time was affected by the task’s difficulty. Unlike commonly used tests, the developed method has proven to be adequate for the simultaneous evaluation of the response in terms of time and motion. Furthermore, thanks to the playful nature of the tests, this method could also be used for clinical and pediatric applications to measure the impact of motor and cognitive impairments on RT. Full article
(This article belongs to the Special Issue Proximity Detection through Sensing Technology)
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12 pages, 4559 KiB  
Communication
Research on Safety Interlock System Design and Control Experiment of Combined Support and Anchor Equipment
Sensors 2022, 22(16), 6058; https://doi.org/10.3390/s22166058 - 13 Aug 2022
Cited by 1 | Viewed by 1591
Abstract
In view of the risk of collision with humans or equipment arising from a lack of protection in the operation process of combined support and anchor equipment on the heading face, this paper designs a safety interlock system for combined support and anchor [...] Read more.
In view of the risk of collision with humans or equipment arising from a lack of protection in the operation process of combined support and anchor equipment on the heading face, this paper designs a safety interlock system for combined support and anchor equipment. Firstly, a mathematical model of hydraulic power system control and a valve control system based on feedforward–feedback optimization were established according to the power demand of the combined support and anchor equipment. Secondly, according to the reliability indexes of the safety interlock system, corresponding sensor, logic control and execution modules were designed. Ultrasonic sensor groups were arranged at the key positions of the combined support and anchor equipment to capture the position information in real time when the equipment was moving. Thus, the pump-valve hydraulic system was controlled through closed-loop feedback. The experimental results show that the safety interlock system of the combined support and anchor equipment can adjust the revolving speed of the permanent magnet synchronous motor (PMSM) in real time according to the distance from the obstacle, so as to control the pump outlet flow, and then perform interlocking safety control of the hydraulic cylinder’s movement speed. The system can effectively prevent damage to the surrounding equipment or personnel arising from equipment malfunction. Full article
(This article belongs to the Special Issue Proximity Detection through Sensing Technology)
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