Vertical Jump Data from Inertial and Optical Motion Tracking Systems

Motion capture (MOCAP) is a widely used technique to record human, animal, and object movement for various applications such as animation, biomechanical assessment, and control systems. Different systems have been proposed based on diverse technologies, such as visible light cameras, infrared camera...

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Main Authors: Mateo Rico-Garcia, Juan Botero-Valencia, Ruber Hernández-García
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Data
Subjects:
Online Access:https://www.mdpi.com/2306-5729/7/8/116
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author Mateo Rico-Garcia
Juan Botero-Valencia
Ruber Hernández-García
author_facet Mateo Rico-Garcia
Juan Botero-Valencia
Ruber Hernández-García
author_sort Mateo Rico-Garcia
collection DOAJ
description Motion capture (MOCAP) is a widely used technique to record human, animal, and object movement for various applications such as animation, biomechanical assessment, and control systems. Different systems have been proposed based on diverse technologies, such as visible light cameras, infrared cameras with passive or active markers, inertial systems, or goniometer-based systems. Each system has pros and cons that make it usable in different scenarios. This paper presents a dataset that combines Optical Motion and Inertial Systems, capturing a well-known sports movement as the vertical jump. As a reference system, the optical motion capture consists of six Flex 3 Optitrack cameras with 100 FPS. On the other hand, we developed an inertial system consisting of seven custom-made devices based on the IMU MPU-9250, which includes a three-axis magnetometer, accelerometer and gyroscope, and an embedded Digital Motion Processor (DMP) attached to a microcontroller mounted on a Teensy 3.2 with an ARM Cortex-M4 processor with wireless operation using Bluetooth. The purpose of taking IMU data with a low-cost and customized system is the deployment of applications that can be performed with similar hardware and can be adjusted to different areas. The developed measurement system is flexible, and the acquisition format and enclosure can be customized. The proposed dataset comprises eight jumps recorded from four healthy humans using both systems. Experimental results on the dataset show two usage examples for measuring joint angles and COM position. The proposed dataset is publicly available online and can be used in comparative algorithms, biomechanical studies, skeleton reconstruction, sensor fusion techniques, or machine learning models.
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spelling doaj.art-c95e65d424584eeb8ea1b9365f34d6a92023-11-30T21:11:59ZengMDPI AGData2306-57292022-08-017811610.3390/data7080116Vertical Jump Data from Inertial and Optical Motion Tracking SystemsMateo Rico-Garcia0Juan Botero-Valencia1Ruber Hernández-García2Facultad de Ingeniería, Institución Universitaria Pascual Bravo, Calle 73 No. 73A-226, Medellin 050034, ColombiaGrupo Sistemas de Control y Robótica, Facultad de Ingenierías, Instituto Tecnológico Metropolitano—ITM, Calle 73 No. 76A-354, Medellin 050034, ColombiaResearch Center for Advanced Studies of Maule (CIEAM), Universidad Católica del Maule, Avenida San Miguel 3605, Talca 3480094, ChileMotion capture (MOCAP) is a widely used technique to record human, animal, and object movement for various applications such as animation, biomechanical assessment, and control systems. Different systems have been proposed based on diverse technologies, such as visible light cameras, infrared cameras with passive or active markers, inertial systems, or goniometer-based systems. Each system has pros and cons that make it usable in different scenarios. This paper presents a dataset that combines Optical Motion and Inertial Systems, capturing a well-known sports movement as the vertical jump. As a reference system, the optical motion capture consists of six Flex 3 Optitrack cameras with 100 FPS. On the other hand, we developed an inertial system consisting of seven custom-made devices based on the IMU MPU-9250, which includes a three-axis magnetometer, accelerometer and gyroscope, and an embedded Digital Motion Processor (DMP) attached to a microcontroller mounted on a Teensy 3.2 with an ARM Cortex-M4 processor with wireless operation using Bluetooth. The purpose of taking IMU data with a low-cost and customized system is the deployment of applications that can be performed with similar hardware and can be adjusted to different areas. The developed measurement system is flexible, and the acquisition format and enclosure can be customized. The proposed dataset comprises eight jumps recorded from four healthy humans using both systems. Experimental results on the dataset show two usage examples for measuring joint angles and COM position. The proposed dataset is publicly available online and can be used in comparative algorithms, biomechanical studies, skeleton reconstruction, sensor fusion techniques, or machine learning models.https://www.mdpi.com/2306-5729/7/8/116biomechanicsinertial measurement units-imumotion capture system-mocapsportsvertical jump
spellingShingle Mateo Rico-Garcia
Juan Botero-Valencia
Ruber Hernández-García
Vertical Jump Data from Inertial and Optical Motion Tracking Systems
Data
biomechanics
inertial measurement units-imu
motion capture system-mocap
sports
vertical jump
title Vertical Jump Data from Inertial and Optical Motion Tracking Systems
title_full Vertical Jump Data from Inertial and Optical Motion Tracking Systems
title_fullStr Vertical Jump Data from Inertial and Optical Motion Tracking Systems
title_full_unstemmed Vertical Jump Data from Inertial and Optical Motion Tracking Systems
title_short Vertical Jump Data from Inertial and Optical Motion Tracking Systems
title_sort vertical jump data from inertial and optical motion tracking systems
topic biomechanics
inertial measurement units-imu
motion capture system-mocap
sports
vertical jump
url https://www.mdpi.com/2306-5729/7/8/116
work_keys_str_mv AT mateoricogarcia verticaljumpdatafrominertialandopticalmotiontrackingsystems
AT juanboterovalencia verticaljumpdatafrominertialandopticalmotiontrackingsystems
AT ruberhernandezgarcia verticaljumpdatafrominertialandopticalmotiontrackingsystems