Special Issue "Deep Learning Methods for Human Activity Recognition and Emotion Detection"
Deadline for manuscript submissions: 1 February 2021.
Interests: wearable technologies for health and wellbeing applications; mobile and pervasive computing for assistive living; Internet of Things and assistive technologies; machine learning algorithms for physiological; inertial and location sensors; personal assistants and coaching for health self-management; activity detection and prediction methods
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Detecting and characterizing human movements and activities is the base for providing contextual information while solving more complex challenges such as health self-management, personal recommender systems, object detection and manipulation, behavioral pattern recognition, and professional sport training. Human activities provide information about what the user does. Combining human activity recognition with emotion recognition enhances the contextual information to how the user feels while doing something and provides rich knowledge of context that is able to characterize both the physical and psychological wellbeing aspects of a person.
A wide range of machine learning methods have been applied over the last 20 years to try to automatically characterize human activities and emotions either based on visual information from environment cameras, embedded sensors in different tools and appliances, or wearable non-intrusive sensor devices. The proliferation of data together with the recent deep-learning-based methods have allowed the research community to achieve high-accuracy algorithms to detect human movements and emotions. This Special Issue is focused on papers that provide up-to-date information on either human activity and emotion detection or the combination of both using machine learning methods in different types of sensors. Both research and survey papers are welcome.
Prof. Dr. Mario Munoz-Organero
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 2000 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.
- Human activity recognition
- Emotion recognition
- Machine learning
- Deep learning
- Wearable sensors