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- Title
Human Activity Recognition in AAL Environments Using Random Projections.
- Authors
Damaševičius, Robertas; Vasiljevas, Mindaugas; Šalkevičius, Justas; Woźniak, Marcin
- Abstract
Automatic human activity recognition systems aim to capture the state of the user and its environment by exploiting heterogeneous sensors attached to the subject’s body and permit continuous monitoring of numerous physiological signals reflecting the state of human actions. Successful identification of human activities can be immensely useful in healthcare applications for Ambient Assisted Living (AAL), for automatic and intelligent activity monitoring systems developed for elderly and disabled people. In this paper, we propose the method for activity recognition and subject identification based on random projections from high-dimensional feature space to low-dimensional projection space, where the classes are separated using the Jaccard distance between probability density functions of projected data. Two HAR domain tasks are considered: activity identification and subject identification. The experimental results using the proposed method with Human Activity Dataset (HAD) data are presented.
- Subjects
HUMAN activity recognition; RANDOM projection method; ONLINE monitoring systems; HUMAN behavior; HIGH-dimensional model representation; PROBABILITY density function
- Publication
Computational & Mathematical Methods in Medicine, 2016, p1
- ISSN
1748-670X
- Publication type
Article
- DOI
10.1155/2016/4073584