Multi-Sensor for Human Activity Recognition
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: closed (30 September 2022) | Viewed by 37985
Special Issue Editors
Interests: activity recognition; wearable sensors; accelerometers; context-awareness; context modeling; ubiquitous computing
Special Issues, Collections and Topics in MDPI journals
Interests: knowledge representation; semantic web; context-based multisensor seasoning and fusion; semantic dialogue management; knowledge-driven decision making
Special Issues, Collections and Topics in MDPI journals
Interests: multimedia analysis and retrieval; multimodal analytics and fusion; semantics
Special Issues, Collections and Topics in MDPI journals
Interests: semantic multimedia analysis; indexing and retrieval; social media and big data analysis; knowledge structures; reasoning and personalization for multimedia applications; e-health and environmental applications
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Human activity recognition (HAR) is a research topic that has recently made significant progress, attracting growing attention in a number of disciplines and application domains. However, whether it is video-based or sensor-based, data-driven or knowledge-driven, HAR still faces many issues and challenges that motivate the development of new activity recognition techniques to improve accuracy under more realistic conditions. Key challenges in the domain include, among others: difficulty in feature extraction, data annotation scarcity, data heterogeneity, recognition of concurrent, overlapped and multioccupant activities, increased computational cost, temporal imperfections, noise, context-based and high-level interpretability, and non-invasive activity sensing and privacy.
This Special Issue focuses on the current state-of-the-art of HAR approaches, with a special emphasis on multisensor environments, where information is typically collected from multiple sources and complementary modalities, such as from multimedia streams (e.g., using video analysis and speech recognition), lifestyle, and environmental sensors. The main objective is to stimulate original, unpublished research addressing the challenges above through the concurrent use of multiple sensors and innovative fusion schemes, frameworks, algorithms, and platforms. Surveys are very welcomed, too.
Authors are invited to submit original contributions or survey papers for publication in the open access Sensors journal. Topics of interest include (but are not limited to) the following:
- Modeling and analysis of multisensors for human activity recognition;
- Knowledge-driven multisensor fusion frameworks for human activity recognition;
- Data-driven and machine-learning-driven multisensor fusion frameworks for human activity recognition;
- Distributed sensor networks and IoT for human activity recognition;
- Interoperability frameworks and semantic situational awareness for high-level human activity recognition and decision making;
- Multisensor human activity recognition under uncertainty, noise, and incomplete data;
- Multisensor human activity recognition in healthcare;
- Multisensor human activity recognition in security and surveillance applications;
- Multisensor human activity recognition in ambient assisted living;
- Multisensor human activity recognition to assist human–computer interaction;
- Multisensor human activity recognition in augmented/virtual reality applications;
- Security and privacy issues in multisensor human activity recognition.
Dr. Athina Tsanousa
Dr. Georgios Meditskos
Dr. Stefanos Vrochidis
Dr. Ioannis Yiannis Kompatsiaris
Guest Editors
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Keywords
- Multi-sensor human activity recognition
- Multi-sensor fusion and interpretation
- IoT networks and interoperability
- Data- and knowledge-driven multi-sensor human activity recognition
- Security and privacy in multi-sensor monitoring
- Surveys on multi-sensor human activity recognition
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Related Special Issue
- Multi-sensor for Human Activity Recognition: 2nd Edition in Sensors (2 articles)