Emerging Trend in Intelligent Activity Recognition and Gait Monitoring in Real Environments
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: 15 May 2026 | Viewed by 1207
Special Issue Editors
Interests: gait analysis; time series signal analysis; wireless sensor networks
Interests: wireless sensing for healthcare; AI; IoT; machine learning/deep learning; reconfigurable intelligent surfaces; big data analysis; programming
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue focuses on the latest advancements in intelligent monitoring and activity recognition technologies. This includes the development and application of innovative sensing devices, machine learning algorithms, and data processing techniques to monitor and recognize human activities in various environments.
The scope encompasses a wide range of topics, including, but not limited to, the following:
- Human activity recognition (HAR);
- Gait analysis;
- Intelligent monitoring systems;
- Internet of Things (IoT)-based sensing;
- Machine learning and deep learning for activity recognition;
- Applications in healthcare, smart homes, and public safety;
- Multimodal sensor integration;
- Real-time data processing and analysis.
The purpose of this Special Issue is to provide a comprehensive overview of the current state of the art in intelligent monitoring and activity recognition technologies. It aims to highlight recent research findings, identify emerging trends, and discuss the challenges and future directions in this rapidly evolving field.
This Special Issue will supplement the existing literature by conducting the following:
- Providing a detailed review of recent advancements in HAR and intelligent monitoring systems, highlighting the latest innovations and their practical applications.
- Offering comparative analyses of different methodologies and technologies used in activity recognition and gait analysis, thus helping researchers and practitioners understand the strengths and limitations of various approaches.
- Discussing the integration of the IoT and machine learning techniques in intelligent monitoring systems, which is a growing area of interest in current research.
- Presenting case studies and real-world applications that demonstrate the effectiveness of these technologies in various settings, such as healthcare, smart homes, and public safety.
Dr. Arshad Sher
Dr. Daniyal Haider
Guest Editors
Manuscript Submission Information
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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. Electronics 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 2400 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)
- intelligent monitoring
- internet of things (IoT)
- machine learning
- deep learning
- smart homes
- healthcare monitoring
- public safety
- multimodal sensors
- real-time data processing
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