EMFI Dataset ---------------------------- (c) 2012, Jaakko Suutala Please cite the related papers [1] and [2], when using the dataset. Datasets --------- Each dataset file contains feature vectors as rows and each column gives the values of that particular feature, last column being a true class label (i.e., person id). Induvidual data and feature sets are: Sequential walking: 10dataset1.txt: 23 geometric and statistical features from footstep signal's time-domain presentation 10dataset2.txt 64 bin FFT amplitude spectrum of the signal 10dataset3.txt 64 bin FFT amplitude spectrum of the derivative signal Single footsteps: 11dataset1.txt: 23 geometric and statistical features from footstep signal's time-domain presentation 11dataset2.txt 64 bin FFT amplitude spectrum of the signal 11dataset3.txt 64 bin FFT amplitude spectrum of the derivative signal Individual features are listed in [1]. References ---------- [1] Suutala J. (2012) Learning Discriminative Models from Structured Multi-sensor Data for Human Context Recognition, Doctoral Thesis, University of Oulu. [2] Suutala J & Röning J (2008) Methods for person identification on a pressure-sensitive floor: Experiments with multiple classifiers and reject option. Information Fusion Journal, Special Issue on Applications of Ensemble Methods. 9: 21-40.