For years, people's life expectancy, especially in European countries, has been rising, except in the last year due to the COVID-19 pandemic. This entails an inversion in the population pyramid that results in an increasing number of elder people. This group is subjected to certain dependency problems, and many current projects seek to improve these issues through monitoring their status, by means of a wearable device. The problem that face these projects is the big amount of data that needs to be obtained to get the fall detection Machine Learning (ML)algorithms to work well. This project will work on the creation of a fall detection model on a software platform, as well as the subsequent analysis of the data. Therefore, the main objective of the project is to develop software platform for fall simulation that allows to generate truthful data of different fall simulations. The development process of the software model will be explained, along with the development of the fall detector required for the extraction of the data, as well as how to obtain the data and analyze it. Also, the comparison between the results of the software modeland the results of the devices currently used in this field will be observed.