Human Activity and Behaviour Recognition: New Technologies and Methods
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Electronic Sensors".
Deadline for manuscript submissions: closed (30 November 2021) | Viewed by 424
Special Issue Editor
Special Issue Information
Dear Colleagues,
In recent years, there has been growing interest in the recognition and modelling of human activities and behaviours. While the former corresponds with processing of individual actions and movements, the latter concerns issues of selection and sequencing of actions. Data have become available from a range of new sources, including CCTV, body-worn cameras, mobile phones, smart watches, and motion- and eye-movement capture equipment. Processing techniques have also improved with the expansion of complex deep-learning models. These can be combined with more biologically based systems to account for underlying human aims and goals. This Special Issue of Sensors will provide a forum for articles on these issues, including, but not limited to discussions of new data-collection equipment and methodologies; consideration of the ethics of recording long-term data on individuals’ locations and activities; descriptions of datasets; development and comparison of statistical or other types of model describing such data; reviews of the literature; and application and case studies.
Dr. Nicholas Costen
Guest Editor
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Keywords
- Activity recognition
- Behaviour modelling
- Deep learning
- Hybrid models
- Behaviour change
- Data ethics
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