Special Issue "Human Activity Detection and Recognition"
Deadline for manuscript submissions: 30 April 2021.
Interests: computer vision; human activity detection and recognition; machine learning; deep learning; GPU computing; physical and cognitive rehabilitation applications; human body tracking; consumer depth cameras; IMUs for motion acquisition; virtual and augmented reality
Interests: computer vision; machine learning; driving simulation; human body detection and tracking; consumer depth cameras; neural networks; deep learning
Systems for human activity detection and recognition are becoming more and more sophisticated everyday. On the one hand, many different kinds of sensors for human action acquisition and tracking are available, ranging from conventional vision-based solutions (RGB, depth, and multi-view cameras) to wearable devices (smart watches and phones or more specific comercial IMU-based sensors for movement tracking) and including many other kinds of IoT devices. On the other hand, the number of proposed techniques for data processing and analysis is increasing everyday. In particular, newer approaches using deep learning and classical machine learning techniques are gaining significant interest. It is also worth noticing that the new situation derived from the Covid-19 pandemic has raised the necessity of physical telerehabilitation systems or tools to control social distance. This Special Issue is intended to present a collection of scientific papers that represent the current state of the art of methods and sensors for the detection, tracking, and recognition of all forms of human activity.
Dr. Mario Martínez-Zarzuela
Dr. David González Ortega
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. 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 2200 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.
- Multisensor human activity detection, tracking, and recognition
- Deep and machine learning techniques for human activity analysis
- Human activity detection and recognition (i.e., pose estimation, activity classification)
- Human activity in health apps (i.e., physical and cognitive rehabilitation, remote motion tracking)
- Human activity in safety apps (i.e., driver monitoring, ergonomics)
- Human activity monitoring and surveillance (i.e., Covid-19, social distance control, risk alert, terrorism)
- Human activity for computer interaction (i.e., natural-based interfaces, virtual and augmented reality)
- Human activity recording, simulation and generation (i.e., database acquisition, synthethic data)