Pierluigi Casale, Computer Vision Center, Barcelona, Spain. Email: plcasale '@' ieee.org

Data Set Information:

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.
  --- Sampling frequency of the accelerometer: DELAY_FASTEST with network connections disabled
  --- Number of Participants: 22
  --- Data Format: CSV

Attribute Information:

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

Relevant 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

Citation Request:

--- 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