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User Identification From Walking Activity Data Set
Download: Data Folder, Data Set Description

Abstract: The dataset collects data from an Android smartphone positioned in the chest pocket from 22 participants walking in the wild over a predefined path.

Data Set Characteristics:  

Univariate, Sequential, Time-Series

Number of Instances:

N/A

Area:

N/A

Attribute Characteristics:

Real

Number of Attributes:

N/A

Date Donated

2014-03-02

Associated Tasks:

Classification, Clustering

Missing Values?

N/A

Number of Web Hits:

94090

Source:

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

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 In Collaboration With:
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