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1. What is it?

WHARF - Wearable Human Activity Recognition Folder is a public repository of code and data sets for Human Activity Recognition systems based on information provided by wearable sensors.

WHARF is composed of:

• WHARF Data Set, a collection of labelled accelerometer data recordings (obtained by a single wrist-worn tri-axial accelerometer) to be used for the creation and validation of acceleration models of simple human activities.

• WHARF Code, a collection of MATLAB functions allowing for the creation and validation of the models and trials in WHARF Data Set. Detailed descriptions of the proposed system and its performance can be found at:

  1. Bruno, B., Mastrogiovanni, F., Sgorbissa, A., Vernazza, T., Zaccaria, R.: Analysis of human behavior recognition algorithms based on acceleration data In: IEEE Int Conf on Robotics and Automation (ICRA), pp. 1602--1607 (2013)

  2. Bruno, B., Mastrogiovanni, F., Sgorbissa, A., Vernazza, T., Zaccaria, R.: Human motion modelling and recognition: A computational approach In: IEEE Int Conf on Automation Science and Engineering (CASE), pp. 156--161 (2012)