Data
walking-activity

walking-activity

active ARFF Publicly available Visibility: public Uploaded 26-05-2015 by Rafael G. Mantovani
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Author: P. Casale, O. Pujol, P. Radeva. Source: [UCI](https://archive.ics.uci.edu/ml/datasets/User+Identification+From+Walking+Activity) Please cite: Casale, P. Pujol, O. and Radeva, P. 'Personalization and user verification in wearable systems using biometric walking patterns' Personal and Ubiquitous Computing, 16(5), 563-580, 2012 User Identification From Walking Activity Data Set The dataset collects data from an Android smartphone positioned in the chest pocket. Accelerometer Data are collected from 22 participants walking in the wild over a predefined path. The dataset is intended for Activity Recognition research purposes. It provides challenges for identification and authentication of people using motion patterns. Note: the original per-user datasets were joined into one dataset ### Attribute Information Time-step, x acceleration, y acceleration, z acceleration Target: User ID.

5 features

Class (target)nominal22 unique values
0 missing
V1numeric72087 unique values
0 missing
V2numeric756 unique values
0 missing
V3numeric665 unique values
0 missing
V4numeric733 unique values
0 missing

19 properties

149332
Number of instances (rows) of the dataset.
5
Number of attributes (columns) of the dataset.
22
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
4
Number of numeric attributes.
1
Number of nominal attributes.
0
Percentage of binary attributes.
0
Percentage of instances having missing values.
1
Average class difference between consecutive instances.
0
Percentage of missing values.
0
Number of attributes divided by the number of instances.
80
Percentage of numeric attributes.
14.73
Percentage of instances belonging to the most frequent class.
20
Percentage of nominal attributes.
21991
Number of instances belonging to the most frequent class.
0.61
Percentage of instances belonging to the least frequent class.
911
Number of instances belonging to the least frequent class.
0
Number of binary attributes.

5 tasks

80 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: Class
0 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: Class
0 runs - estimation_procedure: 33% Holdout set - evaluation_measure: predictive_accuracy - target_feature: Class
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