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README
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README

1. Title: Activity Recognition from a Single Chest-Mounted Accelerometer
	Updated Nov, 2013 , P. Casale, email: [email protected]
	
2. Abstract: The dataset collects data from a wearable accelerometer mounted on the chest. Uncalibrated Accelerometer Data are collected from 15 participants performing 7 activities. 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 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

4. Dataset 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 up\down stairs
       --- 3: Standing
       --- 4: Walking
       --- 5: Going Up\Down Stairs
       --- 6: Walking and Talking with Someone
       --- 7: Talking while Standing
       
5. Reference 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 https://www.researchgate.net/publication/257132489_BeaStreamer-v0.1_a_new_platform_for_Multi-Sensors_Data_Acquisition_in_Wearable_Computing_Applications?ev=prf_pub

   --- 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 https://www.researchgate.net/publication/221258784_Human_Activity_Recognition_from_Accelerometer_Data_Using_a_Wearable_Device?ev=prf_pub
       
  --- 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