Machine Learning in Pattern Recognition

Dear Colleagues,

In this Special Issue, we consider machine learning in pattern recognition to predict a user’s intentions from a series of activities undertaken within a known environment using data from wearable devices with sensors. The process involves human activity recognition (HAR), localization results, and a time component. Human activity recognition aims to recognize the actions and goals of one or more users from a series of observations of the users' movements and the environmental conditions. Localization seeks to provide a precise and accurate user position when performing a specific action in indoor/outdoor environments. The time component is crucial because a user performs certain activities during a particular period. To achieve this, each of the above components must be performed individually before combining them for a system to continuously learn and understand a user's behavior and then have the ability to predict, for example, when certain activities need to be performed and remind the user when “important” activities or events have been missed, including appointments, meals, etc. The applications for this research include ambient assisted living (AAL), which can also be applied in smart homes, security systems, fraud detection, virtual reality, digital companions, and many other areas that rely on continuously knowing what a user is up to in a manner that protects their privacy as well as pervasiveness, since the devices we use are widespread and can be easily worn or carried without burdening the user. Modern deep learning techniques will be discussed to recognize human activities accurately. Localization issues will also be handled considering the environment using deep learning. This Special Issue focuses on papers that provide up-to-date information on machine learning in pattern recognition, including localization, human activity recognition, and human intention prediction systems. Authors are invited to submit original contributions or survey papers for publication in the open-access journal Algorithms.

Dr. Melania Susi
Dr. Alwin Poulose
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 250 words) can be sent to the Editorial Office for assessment.

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 1800 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.