Special Issue "Ambient Assisted Living (AAL): Sensors, Architectures and Applications"
A special issue of Sensors (ISSN 1424-8220).
Deadline for manuscript submissions: 14 March 2014
Prof. Dr. António Manuel de Jesus Pereira
1 Computer Science and Communications Research Centre, Superior School of Technology and Management, Leiria Polytechnic Institute, Morro do Lena, Alto do Vieiro, 2401-951 Leiria, Portugal
2 Information and Communications Technologies Unit, INOV INESC Innovation-Delegation Office at Leiria, Morro do Lena, Alto do Vieiro, 2401-951 Leiria, Portugal
Interests: body area networks; wireless sensor networks; quality of service; telehealth; ambient assisted living; next generation networks and services
Dear Colleagues,This Special Issue of the journal Sensors entitled "Ambient Assisted Living (AAL): Sensors, Architectures and Applications" will focus on all aspects of research and development related to this area.
The sensor conception, and architectures to integrate them into ambient assisted living are now a reality, along with the applications desired by institutions, families and governments.
To this end, this Special Issue aims to collect the most recent advances in ambient assisted living. We are inviting the submission of original and unpublished work addressing several research topics of interest, including but not limited to the following issues:
- smart spaces
- smart objects
- home care monitoring systems
- smart clothes
- smart care
- mobile health care systems
- ambient intelligence
- remote health monitoring
Prof. Dr. António Manuel de Jesus Pereira
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.
Article: Process Mining for Individualized Behavior Modeling Using Wireless Tracking in Nursing Homes
Sensors 2013, 13(11), 15434-15451; doi:10.3390/s131115434
Received: 14 September 2013; in revised form: 30 October 2013 / Accepted: 4 November 2013 / Published: 11 November 2013| Download PDF Full-text (3427 KB) | Download XML Full-text
Sensors 2013, 13(12), 16384-16405; doi:10.3390/s131216384
Received: 22 September 2013; in revised form: 7 November 2013 / Accepted: 19 November 2013 / Published: 29 November 2013| Download PDF Full-text (606 KB) | Download XML Full-text
Sensors 2013, 13(12), 17156-17175; doi:10.3390/s131217156
Received: 18 September 2013; in revised form: 21 November 2013 / Accepted: 26 November 2013 / Published: 12 December 2013| Download PDF Full-text (409 KB) | Download XML Full-text
Article: Ontology-Driven Monitoring of Patient’s Vital Signs Enabling Personalized Medical Detection and Alert
Sensors 2014, 14(1), 1598-1628; doi:10.3390/s140101598
Received: 2 December 2013; in revised form: 10 January 2014 / Accepted: 13 January 2014 / Published: 17 January 2014| Download PDF Full-text (951 KB) | Download XML Full-text
Sensors 2014, 14(1), 1629-1653; doi:10.3390/s140101629
Received: 8 October 2013; in revised form: 23 December 2013 / Accepted: 9 January 2014 / Published: 17 January 2014| Download PDF Full-text (2858 KB) | Download XML Full-text
Sensors 2014, 14(2), 2756-2775; doi:10.3390/s140202756
Received: 10 January 2014; in revised form: 30 January 2014 / Accepted: 8 February 2014 / Published: 11 February 2014| Download PDF Full-text (819 KB)
Article: Web-of-Objects (WoO)-Based Context Aware Emergency Fire Management Systems for the Internet of Things
Sensors 2014, 14(2), 2944-2966; doi:10.3390/s140202944
Received: 3 December 2013; in revised form: 27 January 2014 / Accepted: 28 January 2014 / Published: 13 February 2014| Download PDF Full-text (2173 KB)
Sensors 2014, 14(3), 3833-3860; doi:10.3390/s140303833
Received: 13 December 2013; in revised form: 8 February 2014 / Accepted: 21 February 2014 / Published: 25 February 2014| Download PDF Full-text (5087 KB)
Sensors 2014, 14(3), 4239-4270; doi:10.3390/s140304239
Received: 21 November 2013; in revised form: 14 January 2014 / Accepted: 21 February 2014 / Published: 4 March 2014| Download PDF Full-text (1294 KB)
Sensors 2014, 14(3), 4312-4341; doi:10.3390/s140304312
Received: 16 January 2014; in revised form: 19 February 2014 / Accepted: 24 February 2014 / Published: 4 March 2014| Download PDF Full-text (451 KB) | Supplementary Files
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Type of Paper: Article
Title: An investigation on the feasibility of Uncalibrated and Unconstrained Gaze Tracking for Human Assistive Applications by Using Head Pose Estimation
Authors: Dario Cazzato, Marco Leo, Cosimo Distante
Affiliations: National Research Council of Italy (CNR), Institute of Optics (INO), Italy; E-Mail: firstname.lastname@example.org
Abstract: This paper analyses the accuracy of a method in order to track free human gaze direction on a frontal 2D plane. The core of the proposed approach is a robust pose estimation strategy that extracts information from a RGB-D sensor. Head pose information may be combined with pupil positions extracted by analyzing image intensities. The main aim of the paper is to evaluate the accuracy of the proposed approach for human assistive purposes (e.g. remote device control) and to quantify the improvement of integrating eye pupil information to head pose estimates.
Type of Paper: Article
Title: Language Model Applications to Spelling with Brain–Computer Interfaces
Authors: Anderson Mora‐Cortes, Nikolay V. Manyakov, Nikolay Chumerin and Marc M. Van Hulle
Affiliation: Laboratorium voor Neuro‐ en Psychofysiologie, KU Leuven, Campus Gasthuisberg, O&N2, Herestraat 49, B‐3000 Leuven, Belgium; E‐Mails: Anderson.MoraCortes@med.kuleuven.be, Nikolay.Manyakov@gmail.com, Nikolay.Chumerin@med.kuleuven.be and Marc.VanHulle@med.kuleuven.be Abstract: Within the Ambient Assisted Living(AAL)community, Brain–Computer Interfaces (BCIs) have raised great hopes as they provide alternative communication means for persons with severe speech or motor disabilities. Although significant advancements have been realized during the last decade, the application of language models (e.g., word prediction, completion) started to appear in BCI systems only recently. The main goal of this article is to review those models for EEG‐based BCI and to introduce some new ideas. We conclude that language models can improve communication with a BCI system, albeit that the issue still needs further investigation.
Last update: 8 January 2014