Clustering Approach to the Problem of Human Activity Recognition using Motion Data
Szymon Wawrzyniak, Wojciech Niemiro
Citation: Proceedings of the 2015 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 5, pages 411–416 (2015)
Abstract. This paper describes authors' solution to the task set in AAIA'15 Data Mining Competition: Tagging Firefighter Activities at a Fire Scene. 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.