After meeting the information and picking up the literature that help me to answer the research questions, key factors were selected to determine the structure of the research results. To answer the Q1 was divided into two segments where is showed trends for particular areas, and trends in different domains, then to answer Q2 was divided into 3 sections with their subsections, The first one Applications was subdivided into strategic, tactical and reactive, referring to the purpose of the applications. During this section were found several terms and applications were, but they were selected as the most relevant. On the other hand, sensors were investigated and split into motion, location, Ambient and external sensors used in DBA tasks using smartphones. Finally, driver styles were selected and again the most relevant to discuss such as aggressive, distracted, drunk, and drowsy classification or detection. In the end of this chapter are discussed the challenges and limitations are.

In the last section of results, it is found the machine learning section was divided into algorithms, machine learning, deep learning, and performance discussion.The final structure is shown below.

 

 

 

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