Journal Menu► ▼ Journal Menu
Journal Browser► ▼ Journal Browser
Special Issue "Algorithms for Psycho-Motor Training and Performance Using Wearable Technologies"
A special issue of Algorithms (ISSN 1999-4893).
Deadline for manuscript submissions: closed (30 May 2016).
Prof. Dr. Olga C. Santos Website E-Mail
aDeNu Research Group, Artificial Intelligence Department, Computer Science School, UNED, Madrid 28040, Spain
Interests: recommender systems; affective computing; user modelling; human computer interaction; personalized interaction; human activity recognition
This Special Issue of Algorithms aims to compile original research on algorithms for sensing, processing and/or supporting psycho-motor training. Current advances on wearable technologies (such as intelligent bracelets, watches, t-shirts, etc.) and the interconnection capabilities provided by the Internet of Things can facilitate quantifying and describing the activity of a person while carrying out learning tasks that require consolidating motor tasks into memory through repetition towards accurate movements (e.g., playing a musical instrument, practicing a sport technique, using sign language, etc.). In fact, wearable devices can be used for sensing cognitive, affective, and physical activity. Thus, algorithms can provide support for embodied cognition, affection, and motor skills through varied feedback provided through diverse types of actuators that can take advantage of ambient intelligence (to get to the learner through the most appropriate sensorial channels in a low intrusive way) and/or embodiment scaffolding (e.g., exoskeletons). In this context, this Special Issue invites proposals that provide algorithmic solutions to address some of the existing challenges in terms of the modeling of the physical interaction of the person and the provision of the required personalized support during the physical training. Some of these challenges relate to wearable sensor data analysis, mining, aggregating, modeling, visualizing, sharing, securing, querying, etc., in a distributed way. The mapping of algorithms input/output to interconnectivity standards in order to take advantage of available distributed processing infrastructures would also be needed. The benefits (or not) of Big Data processing algorithms on human movements data sensed needs also to be explored.
Dr. Olga C. Santos
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 papers will be 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. Algorithms 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 1000 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.
- Wearable devices
- Streaming of sensed data
- Data mining
- Time series analysis
- Wireless and sensor networks
- Big data processing
- Cloud computing
- Internet of Things
- Ambient intelligence