Towards robust fall detection

摘要: This paper presents a method for classifier development by combining domain knowledge and machine learning. The development is performed in two phases:(1) development of initial hypothesis using domain knowledge or interactive machine learning and (2) refinement of the initial hypothesis using genetic algorithms. The method is presented in the domain of fall detection.