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Clustering Approach to the Problem of Human Activity Recognition using Motion Data
2015
Proceedings of the 2015 Federated Conference on Computer Science and Information Systems
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This paper describes authors' solution to the task set in AAIA'15 Data Mining Competition: Tagging Firefighter Activities at a Fire Scene (https://knowledgepit.fedcsis.org/contest/ view.php?id=106). Method involves LDA classification on a preprocessed time series data with a unique label transformation technique using K-Means clustering. Data were collected from accelerometer and gyroscope readings.
doi:10.15439/2015f424
dblp:conf/fedcsis/WawrzyniakN15
fatcat:saadol7oyrdcbnhrmsa4ufdvge