Sensor-Based Human Activity Recognition
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: 15 December 2025 | Viewed by 2343
Special Issue Editor
Special Issue Information
Dear Colleagues,
Sensor-based human activity recognition (HAR) aims at recognising activities by using and integrating data obtained from various sensors, like wearable, object, and ambient sensors, as well as vision sensors. Here, activities are high-level descriptions that can be extracted from low-level sensor data and include not only the physical behaviours of a person but also their mental states (i.e., emotions) and health conditions. Sensor-based HAR to recognise such activities can lead to innovative and useful applications in various domains like healthcare, smart home, human–computer interaction, and autonomous driving. Several sensor-based HAR systems are already in practical use thanks to the recent advancement of sensor technologies, wireless communication networks, and machine learning techniques. However, devising really useful sensor-based HAR systems still needs to solve many problems like the scarcity of large-scale datasets, the treatment of missing or defective sensors, the compositional nature of an activity, the personalisation and calibration of a system for each user, and so on. This Special Issue is dedicated to collecting the latest research achievements and findings on the following topics:
- System architecture for sensor-based HAR;
- Sensing devices and technologies;
- Signal processing for sensor recordings;
- Machine learning for sensor-based HAR;
- Multimodal deep learning for sensor-based HAR;
- Knowledge discovery and data mining for sensor-based HAR;
- Personalisation and calibration of a sensor-based HAR system;
- Explainability of a sensor-based HAR system;
- Sensor-based HAR using LLM;
- Visualisation and user interface for sensor-based HAR;
- Datasets to benchmark sensor-based HAR systems;
- Real-world applications of sensor-based HAR;
- Surveys on sensor-based HAR.
Dr. Kimiaki Shirahama
Guest Editor
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Keywords
- human activity recognition (HAR)
- sensor technology
- artificial intelligence
- pervasive computing
- wearable computing
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