@article{obretin2021sensorbased,
  title = {Sensor-based Methodology for Indoor Trajectory Determination},
  author = {Alexandru Marius OBRETIN},
  year = 2021,
  url = {https://ibimapublishing.com/articles/CIBIMA/2021/524370/},
  journal = {Communications of the IBIMA},
  volume = 2021,
  pages = 12,
  doi = 10.5171/2021.524370,
  abstract = {The unprecedented development in the realm of Internet of Things in recent times has facilitated the adoption and integration of microcontrollers and sensors into a large variety of contexts and at a significant scale. Among the multitude of concepts that derive from this paradigm, a topic that recently grabbed both industry and academic interest is the indoor location, a field where dynamic challenges are currently tackled in order to enhance existing emergency evacuation systems, behavioural based recommendation engines and improve indoor assistants for optimized path finding and accurate guidance. Although valuable and thought-provoking exponents of these categories are further presented in detail in the related work section, most of them are designed to address particular cases, without considering a broader spectrum of variables, often being state-of-the-art academic initiatives. This paper analyses already proposed architectures that rely on common infrastructure – hardware capabilities that are found in a smartphone, identifies a series of flaws in the implementation and provides solutions for the emphasized issues. Overall, this article presents a software architecture that relies on open-source technologies and standards to collect sensor data from a smartphone, details the statistical methods involved in the filtration phase and describes the processing techniques used for indoor trajectory determination. The design is light, oriented towards easy interaction and composed of multiple microservices that address specific functions which can be enabled on demand.},
  keywords = {Indoor Location, Smartphone Sensors, Indoor Positioning System, Statistical Analysis},
  note = Article ID: 524370
}