@InProceedings{OliveiraComTorPadSil:2013:ViRuRa,
author = "Oliveira, Guilherme and Comba, Jo{\~a}o and Torchelsen, Rafael
and Padilha, Maristela and Silva, Claudio",
affiliation = "{UFRGS - Brazil} and {UFRGS - Brazil} and {UFFS - Brazil} and {IPA
- Brazil} and {NYU-Poly - USA}",
title = "Visualizing Running Races Through the Multivariate Time-Series of
Multiple Runners",
booktitle = "Proceedings...",
year = "2013",
editor = "Boyer, Kim and Hirata, Nina and Nedel, Luciana and Silva,
Claudio",
organization = "Conference on Graphics, Patterns and Images, 26. (SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "Time Series, Races.",
abstract = "The recent widespread of heart rate (HR) monitors is allowing
people to measure body response during and after exercise, which
produces a collection of time-series on multivariate aspects, such
as heartbeat, speed, geolocation, etc. Such monitoring can be
extremely important for people with low fitness levels, since they
are susceptible to cardiovascular diseases or other physical
injuries when exercising at high heartbeat frequencies. Even
though most monitors provide tools to export and display this
information for each individual, the ability to visualize the
collection of multiple runners in a given running race is mostly
unexplored. In this work, we present a design study that aims to
support analysis and answer several questions raised by an expert
on exercise physiology about a given running race. We describe
each visualization design and how they individually, or in
collaboration, can be used to reveal interesting aspects of the
data. We illustrate our results with use cases that provide
evaluation and feedback about the visualization designs
proposed.",
conference-location = "Arequipa, Peru",
conference-year = "5-8 Aug. 2013",
doi = "10.1109/SIBGRAPI.2013.23",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2013.23",
language = "en",
ibi = "8JMKD3MGPBW34M/3EEEL6B",
url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3EEEL6B",
targetfile = "paper.pdf",
urlaccessdate = "2024, May 05"
}