Applied machine learning to implement movement recognition on ultra low power IoT node

reservedAfter a brief introduction about Industrial IoT, sensing and machine learning applications. The main attention is focused retrieving data with IoT node and recognition features were developed with artificial intelligence techniques. During the data retrieving, the board placed around the wrist, in the hand. Stationary, walking and running movements were considered. While analyzing the data, issues were tried to be solved and machine learning techniques were used. In this research, the learned technical knowledge has been applied to the reality and has contributed to the development in the professional field. Eventually, experimental results, applications and improvements are presented.After a brief introduction about Industrial IoT, sensing and machine learning applications. The main attention is focused retrieving data with IoT node and recognition features were developed with artificial intelligence techniques. During the data retrieving, the board placed around the wrist, in the hand. Stationary, walking and running movements were considered. While analyzing the data, issues were tried to be solved and machine learning techniques were used. In this research, the learned technical knowledge has been applied to the reality and has contributed to the development in the professional field. Eventually, experimental results, applications and improvements are presented