Desarrollo de un sistema IoT para la adquisición de datos biomecánicos de un patinador de velocidad, utilizando dispositivos ESP32

Abstract

In sports of competition, considering small details in technique can mean better results. Cu- rrently, studies that relate speed skating with IoT and wearable devices are limited, being the

experience of elite athletes or coaches the main reference for skaters when improving their techniques. Therefore, the incorporation of measurement systems with inertial sensors that

describe the athlete’s movements in a quantitative way would lead to more controlled and ef- ficient training. In this project an IoT Wireless system is developed that incorporates ESP32

modules and inertial sensors for the acquisition of acceleration data from the four extremities of a speed skater; these data are stored in the Thingsboard Cloud Web server, using the MQTT protocol. The measurement system has a star-like architecture consisting of a central node and four sensor nodes, which communicate using the ESP-NOW protocol. To command the

data capture at the sensor nodes and visualize the inertial data, a mobile application for An- droid is developed. To verify the operation of the acquisition system, tests were performed on

three skaters with different levels of experience and under the same conditions, being able to characterize the acceleration data of the four extremities in the three cartesian axes, both for a straight and curved section of the track.