Machine Learning-Based Human Activity Recognition
A special issue of Informatics (ISSN 2227-9709).
Deadline for manuscript submissions: 30 September 2026 | Viewed by 27
Special Issue Editors
Interests: human activity recognition (HAR); deep learning; attention mechanisms; smartphone and wrist-worn sensing; signal preprocessing
Interests: sensor-based activity recognition; deep learning; convolutional neural networks (CNN); wearable sensors; multimodal sensor data
Special Issue Information
Dear Colleagues,
Human activity recognition (HAR) has become a foundational technology in numerous intelligent systems, enabling machines to interpret human actions from sensor data with increasing accuracy and robustness. With the rapid advancement of machine learning and deep learning, modern HAR systems can now capture complex temporal–spatial patterns, adapt to diverse users, and operate reliably across real-world environments. These developments support a wide range of applications, including smart healthcare monitoring, assisted living, fitness tracking, smart homes, workplace safety, and human–computer interaction. The integration of wearable sensors, mobile devices, and multimodal data streams has opened new research opportunities while also introducing challenges related to data quality, model generalization, computational efficiency, and interpretability.
This Special Issue invites high-quality contributions that explore the theoretical, methodological, and applied aspects of machine learning-based human activity recognition. Topics include, but are not limited to, the following:
- Sensor-based HAR;
- Machine learning and deep learning models for HAR;
- Feature extraction and fusion;
- Multimodal sensing and time-series modeling;
- Real-world and cross-subject HAR;
- Explainable and interpretable HAR models;
- Lightweight and efficient HAR systems;
- Benchmarking, evaluation metrics, and open HAR datasets.
Both original research articles and review papers are welcome.
Dr. Anuchit Jitpattanakul
Dr. Sakorn Mekruksavanich
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 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. Informatics is an international peer-reviewed open access quarterly 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.
Keywords
- human activity recognition (HAR)
- deep learning
- attention mechanism
- smartphone and wearable sensors
- signal preprocessing
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