Training Analysis of Double Canoe Based on IOT

Abstract

Taiwan is a maritime country. In recent years, due to the open pole of the ocean, outdoor marine leisure sports have been promoted, especially canoeing activities are currently the most popular marine sport in Taiwan. The canoe sport also has competition games: Especially the two-person competition canoe requires two people to coordinate with each other at the same time. Therefore, this article proposes to build a two-person canoe training analysis based on IoT. In this article, an IoT device is installed on the two-person arm. When two people are sliding a canoe, the speed of the G-sensor can be used to judge the problem of coordination between the two parties, and the information proposed in this article will be sent to the platform. The platform will record the rate of each canoe user's sliding. Therefore, the system proposed in this article can be analyzed through platform information. Whether the coordination between the users of both sides is gradually growing, or it needs to be further revised. The method proposed in this article helps to scientifically train players.