Uncalibrated Accelerometer Data are collected from 15 participantes performing 7 activities. The dataset provides challenges for identification and authentication of people using motion patterns.

Data Set Information:

--- The dataset collects data from a wearable accelerometer mounted on the chest
--- Sampling frequency of the accelerometer: 52 Hz
--- Accelerometer Data are Uncalibrated
--- Number of Participants: 15
--- Number of Activities: 7
--- Data Format: CSV

Attribute Information:

--- Data are separated by participant
--- Each file contains the following information
---- sequential number, x acceleration, y acceleration, z acceleration, label
--- Labels are codified by numbers
--- 1: Working at Computer
--- 2: Standing Up, Walking and Going updown stairs
--- 3: Standing
--- 4: Walking
--- 5: Going UpDown Stairs
--- 6: Walking and Talking with Someone
--- 7: Talking while Standing

Relevant Papers:

--- Casale, P. Pujol, O. and Radeva, P.
'BeaStreamer-v0.1: a new platform for Multi-Sensors Data Acquisition in Wearable Computing Applications',
CVCRD09, ISBN: 978-84-937261-1-9, 2009
available on [Web link]

--- Casale, P. Pujol, O. and Radeva, P.
'Human activity recognition from accelerometer data using a wearable device',
IbPRIA'11, 289-296, Springer-Verlag, 2011
available on [Web link]

--- 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 [Web link]

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