@InProceedings{BeltrãoNazaSchw:2018:AuGyWo,
author = "Beltr{\~a}o, Davi Faria de Assis and Nazare, Ant{\^o}nio Carlos
and Schwartz, William Robson",
affiliation = "{Universidade Federal de Minas Gerais} and {Universidade Federal
de Minas Gerais} and {Universidade Federal de Minas Gerais}",
title = "Automatic Gym Workout Recognition using Wearable Devices",
booktitle = "Proceedings...",
year = "2018",
editor = "Ross, Arun and Gastal, Eduardo S. L. and Jorge, Joaquim A. and
Queiroz, Ricardo L. de and Minetto, Rodrigo and Sarkar, Sudeep and
Papa, Jo{\~a}o Paulo and Oliveira, Manuel M. and Arbel{\'a}ez,
Pablo and Mery, Domingo and Oliveira, Maria Cristina Ferreira de
and Spina, Thiago Vallin and Mendes, Caroline Mazetto and Costa,
Henrique S{\'e}rgio Gutierrez and Mejail, Marta Estela and Geus,
Klaus de and Scheer, Sergio",
organization = "Conference on Graphics, Patterns and Images, 31. (SIBGRAPI)",
publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
address = "Porto Alegre",
keywords = "gym recognition, smartwatch.",
abstract = "It is well known among people that sports practice leads to a
better quality of life and prevent diseases. Furthermore,
according to some sources, the use of smartwatches is spreading
worldwide, reaching almost 20% of U.S. population nowadays. Aiming
at helping people at gym, we proposed a work that employs
smartwatches to recognize and classify activities executed by the
users, allowing users to exercise properly and easily. This way,
the users will be able to control their exercise series more
precisely, for instance. We develop a new open source application
capable of capturing and providing data easily. We use all sensors
available (e.g., accelerometer, gyroscope, magnetometer, barometer
and linear acceleration) to capture as much data as possible to
perform exercise classification after performing feature
extraction.",
conference-location = "Foz do Igua{\c{c}}u, PR, Brazil",
conference-year = "29 Oct.-1 Nov. 2018",
language = "en",
ibi = "8JMKD3MGPAW/3S4Q5ES",
url = "http://urlib.net/ibi/8JMKD3MGPAW/3S4Q5ES",
targetfile = "2018_wip_gymsensors.pdf",
urlaccessdate = "2024, May 03"
}