The paper describes the design of a wearable and wireless system that allows the real-time identification of some gestures performed by basketball players. This system is specifically designed as a support for coaches to track the activity of two or more players simultaneously. Each wearable device is composed of two separate units, positioned on the wrists of the user, connected to a personal computer (PC) via Bluetooth. Each unit comprises a triaxial accelerometer and gyroscope, a microcontroller, installed on a TinyDuino platform, and a battery. The concept of activity recognition chain is investigated and used as a reference for the gesture recognition process. A sliding window allows the system to extract relevant features from the incoming data streams: mean values, standard deviations, maximum values, minimum values, energy, and correlations between homologous axes are calculated to identify and differentiate the performed actions. Machine learning algorithms are implemented to handle the recognition phase.
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March 2019
Research-Article
A Wearable Device to Detect in Real-Time Bimanual Gestures of Basketball Players During Training Sessions
Marco Mangiarotti,
Marco Mangiarotti
School of Industrial and
Information Engineering,
Politecnico di Milano,
Milano 20133, Italy
e-mail: marco1.mangiarotti@mail.polimi.it
Information Engineering,
Politecnico di Milano,
Milano 20133, Italy
e-mail: marco1.mangiarotti@mail.polimi.it
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Francesco Ferrise,
Francesco Ferrise
Politecnico di Milano,
Department of Mechanical Engineering,
Via La Masa 1,
Milano 20156, Italy
e-mail: francesco.ferrise@polimi.it
Department of Mechanical Engineering,
Via La Masa 1,
Milano 20156, Italy
e-mail: francesco.ferrise@polimi.it
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Serena Graziosi,
Serena Graziosi
Politecnico di Milano,
Department of Mechanical Engineering,
Via La Masa 1,
Milano 20156, Italy
e-mail: serena.graziosi@polimi.it
Department of Mechanical Engineering,
Via La Masa 1,
Milano 20156, Italy
e-mail: serena.graziosi@polimi.it
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Francesco Tamburrino,
Francesco Tamburrino
Politecnico di Milano,
Department of Mechanical Engineering,
Via La Masa 1,
Milano 20156, Italy
e-mail: francesco.tamburrino@polimi.it
Department of Mechanical Engineering,
Via La Masa 1,
Milano 20156, Italy
e-mail: francesco.tamburrino@polimi.it
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Monica Bordegoni
Monica Bordegoni
Politecnico di Milano,
Department of Mechanical Engineering,
Via La Masa 1,
Milano 20156, Italy
e-mail: monica.bordegoni@polimi.it
Department of Mechanical Engineering,
Via La Masa 1,
Milano 20156, Italy
e-mail: monica.bordegoni@polimi.it
Search for other works by this author on:
Marco Mangiarotti
School of Industrial and
Information Engineering,
Politecnico di Milano,
Milano 20133, Italy
e-mail: marco1.mangiarotti@mail.polimi.it
Information Engineering,
Politecnico di Milano,
Milano 20133, Italy
e-mail: marco1.mangiarotti@mail.polimi.it
Francesco Ferrise
Politecnico di Milano,
Department of Mechanical Engineering,
Via La Masa 1,
Milano 20156, Italy
e-mail: francesco.ferrise@polimi.it
Department of Mechanical Engineering,
Via La Masa 1,
Milano 20156, Italy
e-mail: francesco.ferrise@polimi.it
Serena Graziosi
Politecnico di Milano,
Department of Mechanical Engineering,
Via La Masa 1,
Milano 20156, Italy
e-mail: serena.graziosi@polimi.it
Department of Mechanical Engineering,
Via La Masa 1,
Milano 20156, Italy
e-mail: serena.graziosi@polimi.it
Francesco Tamburrino
Politecnico di Milano,
Department of Mechanical Engineering,
Via La Masa 1,
Milano 20156, Italy
e-mail: francesco.tamburrino@polimi.it
Department of Mechanical Engineering,
Via La Masa 1,
Milano 20156, Italy
e-mail: francesco.tamburrino@polimi.it
Monica Bordegoni
Politecnico di Milano,
Department of Mechanical Engineering,
Via La Masa 1,
Milano 20156, Italy
e-mail: monica.bordegoni@polimi.it
Department of Mechanical Engineering,
Via La Masa 1,
Milano 20156, Italy
e-mail: monica.bordegoni@polimi.it
1Corresponding author.
Manuscript received February 15, 2018; final manuscript received October 1, 2018; published online November 19, 2018. Assoc. Editor: Rahul Rai.
J. Comput. Inf. Sci. Eng. Mar 2019, 19(1): 011004 (10 pages)
Published Online: November 19, 2018
Article history
Received:
February 15, 2018
Revised:
October 1, 2018
Citation
Mangiarotti, M., Ferrise, F., Graziosi, S., Tamburrino, F., and Bordegoni, M. (November 19, 2018). "A Wearable Device to Detect in Real-Time Bimanual Gestures of Basketball Players During Training Sessions." ASME. J. Comput. Inf. Sci. Eng. March 2019; 19(1): 011004. https://doi.org/10.1115/1.4041704
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