Learning Swimming Techniques by Means of Real-Time Monitoring with Embedded Devices

Swimming is a well-rounded, highly efficient physical activity that provides significant contributions to a healthy lifestyle. Therefore, it is frequently chosen as a form of exercise, even later in life, by many individuals with no prior swimming experience. However, mastering swimming as an adult can be challenging, due to the required time needed to be invested at a swimming facility under the guidance of an instructor. This paper proposes a method of dryland training suitable for swimmers of all levels, with the aid of embedded solutions. The solution is composed of pairs of MPU6050 accelerometer sensors and ESP32 development boards within a multi-device system. These pairs are affixed onto strategic points on the human body to analyze swimming movements performed by the user. The system records the data and generates accuracy assessments based on a reference dataset.