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Special Issue "Sensors and Sensing in Indoor Localization, Tracking, Navigation and Activity Monitoring"

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

Deadline for manuscript submissions: 30 September 2017

Special Issue Editors

Guest Editor
Prof. Dr. Jesús Ureña

Department of Electronics, School of Engineering, University of Alcala, Campus Universitario s/n, 28805 Alcala de Henares, Madrid, Spain
Website | E-Mail
Interests: ultrasonic signal processing; Local Positioning Systems (LPSs); mobile robots;, electronic control, tracking and navigation; daily live monitoring; algorithm implementation on software and hardware
Guest Editor
Dr. Álvaro Hernández Alonso

Department of Electronics, School of Engineering, University of Alcala, Campus Universitario s/n, E-28805 Alcala de Henares, Madrid, Spain
E-Mail
Interests: ultrasonic sensory systems; Local Positioning Systems (LPSs); embedded systems; electronic design
Guest Editor
Dr. Juan Jesús García Domínguez

Department of Electronics, School of Engineering, University of Alcala, Campus Universitario s/n, 28805 Alcala de Henares, Madrid, Spain
E-Mail
Interests: ^local positioning systems; pedestrian dead reckoning; daily live monitoring; body sensor networks

Special Issue Information

Dear Colleagues,

Indoor localization has become a key issue for emerging location-based applications (LBA) in many activity areas. Different technologies and strategies, sometimes including their fusion, compete and/or collaborate to provide a solution to the indoor localization problem. Most times, the selection of a certain system depends on the final application that imposes different constraints, such as accuracy, granularity, coverage area, ease of deployment, calibration and reconfiguration, cost, etc. Large-scale deployment of such location systems needs a network support for different aspects: availability and accessibility, configurability and scalability, privacy, security, etc. Definitely, this strategic topic will lead to technological innovations that have a great impact on the daily activities of people in the coming years, in areas such as health and independent living, home and building automation, leisure, security, etc.

This Special Issue is devoted to new research results and developments in the area of sensors and technologies for Indoor Localization Systems (ILS), which include RF, IR, ultrasonic, magnetic, optical, inertial or other particular systems, as well as the positioning strategies and algorithms, including sensor fusion and networking. As the final application may play an important role from the very initial stages of the system design and deployment, we are also interested in ILS applications, for instance in object tracking, navigation of robots or people, and activity monitoring.

Prof. Dr. Jesús Ureña
Dr. Álvaro Hernández Alonso
Dr. Juan Jesús García Domínguez
Guest Editors

Submission

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. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as 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 refereed through a 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 monthly 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 1800 CHF (Swiss Francs).

Keywords

  • Sensors and technologies for Indoor Localization Systems (ILS)
  • Positioning strategies and algorithms; sensor fusion and networking.
  • System deployment and maintenance
  • Mobile Robot Navigation with ILS
  • Object tracking
  • People assistance and activity monitoring
  • Other ILS applications

Published Papers (2 papers)

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Research

Open AccessArticle Assessing Human Activity in Elderly People Using Non-Intrusive Load Monitoring
Sensors 2017, 17(2), 351; doi:10.3390/s17020351
Received: 30 November 2016 / Revised: 21 January 2017 / Accepted: 25 January 2017 / Published: 11 February 2017
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Abstract
The ageing of the population, and their increasing wish of living independently, are motivating the development of welfare and healthcare models. Existing approaches based on the direct heath-monitoring using body sensor networks (BSN) are precise and accurate. Nonetheless, their intrusiveness causes non-acceptance. New
[...] Read more.
The ageing of the population, and their increasing wish of living independently, are motivating the development of welfare and healthcare models. Existing approaches based on the direct heath-monitoring using body sensor networks (BSN) are precise and accurate. Nonetheless, their intrusiveness causes non-acceptance. New approaches seek the indirect monitoring through monitoring activities of daily living (ADLs), which proves to be a suitable solution. ADL monitoring systems use many heterogeneous sensors, are less intrusive, and are less expensive than BSN, however, the deployment and maintenance of wireless sensor networks (WSN) prevent them from a widespread acceptance. In this work, a novel technique to monitor the human activity, based on non-intrusive load monitoring (NILM), is presented. The proposal uses only smart meter data, which leads to minimum intrusiveness and a potential massive deployment at minimal cost. This could be the key to develop sustainable healthcare models for smart homes, capable of complying with the elderly people’ demands. This study also uses the Dempster-Shafer theory to provide a daily score of normality with regard to the regular behavior. This approach has been evaluated using real datasets and, additionally, a benchmarking against a Gaussian mixture model approach is presented. Full article
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Open AccessArticle Reliable Identification of Vehicle-Boarding Actions Based on Fuzzy Inference Syste
Sensors 2017, 17(2), 333; doi:10.3390/s17020333
Received: 31 December 2016 / Revised: 29 January 2017 / Accepted: 6 February 2017 / Published: 9 February 2017
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Abstract
Existing smartphone-based solutions to prevent distracted driving suffer from inadequate system designs that only recognize simple and clean vehicle-boarding actions, thereby failing to meet the required level of accuracy in real-life environments. In this paper, exploiting unique sensory features consistently monitored from a
[...] Read more.
Existing smartphone-based solutions to prevent distracted driving suffer from inadequate system designs that only recognize simple and clean vehicle-boarding actions, thereby failing to meet the required level of accuracy in real-life environments. In this paper, exploiting unique sensory features consistently monitored from a broad range of complicated vehicle-boarding actions, we propose a reliable and accurate system based on fuzzy inference to classify the sides of vehicle entrancebyleveragingbuilt-insmartphonesensorsonly. Theresultsofourcomprehensiveevaluation on three vehicle types with four participants demonstrate that the proposed system achieves 91.1%∼94.0% accuracy, outperforming other methods by 26.9%∼38.4% and maintains at least 87.8 %accuracy regardless of smartphone positions and vehicle types. Full article
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