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user-identification

user.py is used for normalization feature.py is used for rolling window and feature extraction four classification.py mean four classifiers add label is to label 6 users from 0 to 5

  1. Title: User Identification From Walking Activity

  2. Abstract: The dataset collects data from an Android smartphone positioned in the chest pocket. Accelerometer Data are collected from 6 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.

  3. Relevant Information: --- The dataset collects data from an Android smartphone accelerometer positioned in the chest pocket --- Sampling frequency of the accelerometer: DELAY_FASTEST with network connections disabled --- Number of Participants: 6 --- Data Format: CSV

  4. Dataset Information --- Data are separated by participant --- Each file contains the following information ---- time-step, x acceleration, y acceleration, z acceleration

  5. Reference Papers

--- 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 available on https://www.researchgate.net/publication/227192676_Personalization_and_user_verification_in_wearable_systems_using_biometric_walking_patterns?ev=prf_pub