This tutorial was presented by Hezi Resheff on 7 May 2014 as part of the Symposium on Animal Movement and the Environment, held at the North Carolina Museum of Natural Sciences in Raleigh.

Resheff H, Nathan R, 2014, "Supervised learning of behavior modes from acceleration data"

Abstract: Part 1. Supervised learning of behavior modes from acceleration data has been used in many recent studies for behavioral annotation of animal tracks. In order to make the process simple and accessible, we have developed a web application for selecting and calculating models. The talk will outline the general steps necessary for supervised learning of behavior modes, and describe how to use the web app. This talk will be followed by a hands-on experience with the app.

Part 2. This hands-on workshop session will be given following a lecture describing the web app, but will be as self-contained as possible. The purpose of this workshop is to allow users to get acquainted with the software, try the app out on their data, or alternatively use data files that we will provide. During this workshop we will answer any questions you might have about using the software and learning behavior modes from acceleration data in general.

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