Special Issue "Sensor-Based Human Activity Monitoring"
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".
Deadline for manuscript submissions: closed (28 February 2022) | Viewed by 14749
Special Issue Editors
Interests: computer graphics; computer vision; robotics; motion analysis; machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: computer graphics; computer animation; computer vision; machine learning and robotics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With the advancement of sensing technology, sensor-based monitoring systems are becoming more affordable and can be deployed everywhere easily. However, given the huge volume of sensor data recorded every day, analysing data automatically becomes an emerging research topic. Existing approaches focus primarily on the physical/physiological aspect when analysing body movements/gait. In contrast, analyzing and interpreting the emotion statues from the subjects will provide important additional context to understanding the intentions driving human activities.
In this context, this Special Issue aims to connect researchers in the field of computer vision, machine learning and affective computing for human activity monitoring applications, such as surveillance, healthcare, etc. This issue will provide a state-of-the-art representation of algorithms and methods that progress the field of research and applications into sensor-based human activity monitoring.
We will accept full-length research articles and reviews focused on this research topic. Topics of interest include, but are not limited to, the following:
- Vision-based (RGB and/or depth) human activity understanding
- Vision-based (RGB and/or depth) emotion recognition
- Wearable sensors for human activity understanding
- Wearable sensors for emotion recognition
- Health monitoring systems
- Deep learning for activity understanding
- Multimodal Human Activity Recognition
Prof. Edmond S. L. Ho
Guest Editor
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 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 understanding
- action recognition
- emotion recognition
- deep learning
- wearable sensors
- health monitoring
- healthcare
- surveillance