System Based on an Inertial Measurement Unit for Accurate Flight Time Determination in Vertical Jumps

Author:

Moreno-Pérez Juan A.1,Ruiz-García Isidoro1ORCID,Navarro-Marchal Ismael23ORCID,López-Ruiz Nuria1ORCID,Gómez-López Pablo J.2ORCID,Palma Alberto J.1ORCID,Carvajal Miguel A.1ORCID

Affiliation:

1. ECSens, Sport and Health University Research Institute (iMUDS), Department of Electronics and Computer Technology, ETSIIT, University of Granada, 18014 Granada, Spain

2. SkiingLab, Sport and Health University Research Institute (iMUDS), Department of Physical and Sport Education, University of Granada, 18007 Granada, Spain

3. Human Lab, Sport and Health University Research Institute (iMUDS), Department of Physical Education and Sport, Faculty of Sport Sciences, University of Granada, 18007 Granada, Spain

Abstract

The world of elite sports has always been characterized by intense competition, where victories are often determined by minimal differences. This means that every little detail in the preparation of top-level athletes is crucial to their performance at the highest level. One of the most significant aspects to monitor is the jumping capacity, as it enables the measurement of performance, progression, and helps prevent injuries. Herein, we present the development of a system capable of measuring the flight time and height reached by the user, reporting the results through a smartphone using an Android ad-hoc application, which handles all the data processing. The system consists of an affordable and portable circuit based on an accelerometer. It communicates with the smartphone via UART using a Bluetooth module, and its battery provides approximately 9 h of autonomy, making it suitable for outdoor operations. To evaluate the system’s precision, we conducted performance tests (counter-movement jumps) with seven subjects. The results confirmed the system’s potential for monitoring high-level sports training sessions, as the average deviation obtained was only 2.1% (~0.01 s) in the analysis of flight time and 4.6% (~0.01 m) in jump height.

Funder

Consejo Superior de Deportes

European Union

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Visualisation of Standing Long Jump Patterns Based on PCA and Inertial Sensors;2024 11th International Conference on Electrical, Electronic and Computing Engineering (IcETRAN);2024-06-03

2. Robust Feature Representation Using Multi-Task Learning for Human Activity Recognition;Sensors;2024-01-21

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