Intelligence Sports Performance Analytics from Strava Using Big Data Platform with Multi-Layer Perceptron

This paper is trying to address the challenge faced by athletes or recreational runners to predict the performance based on historical performance and current condition. Not only based on individual performance, but the sportsman also needs to understand with current health condition, what the peak performance that can achieve. Recent development of big data technology with streaming pipeline is possible to address the challenge. With Strava Application as an edge technology that user used to gather the data and Big Data platform to process the data in stream, this research is trying to address the problem. This paper presents the automatic big data pipeline that retrieve data from multiple smartwatch platform, process the data with machine learning model and visualize the data and result in web visualization. Multi-Layer Perceptron model is providing the best performance with R-square 0.985 and MAPE 0.047 or 4.7%.