RESUMENEste trabajo de investigación aborda los aspectos relacionados con el diseño y pruebas de un sistema para el reconocimiento de posturas del cuerpo, basado en el algoritmo Skeletal Tracking, la técnica Distorsión de Tiempo Dinámico (DTW) y las funcionalidades que ofrece la tecnología KINECT; como estrategia RESUMOEste trabajo de investigación aborda los aspectos relacionados con el diseño y pruebas de un sistema para el reconocimiento de posturas del cuerpo, basado en el algoritmo Skeletal Tracking, la técnica Distorsión de Tiempo Dinámico (DTW) y las funcionalidades que ofrece la tecnología KINECT; como estrategia en la prevención de accidentes automovilísticos, ocasionados por estados de sueño y distracción en los conductores. Es importante resaltar que para desarrollar este sistema, se analizaron las funcionalidades y limitaciones que tenían otros sistemas de similar propósito, creados para detectar conductores en condiciones de sueño, fatiga o cansancio. PALAVRAS-CHAVE:Tecnología KINECT; Reconocimiento de Posturas; Skeletal Tracking; Accidentes Automovilísticos, Computación Gestual. ABSTRACTIn this research we address aspects related to the design and tests of a system for recognizing body postures based on the Skeletal Tracking algorithm, the technique Dynamic Time Warping (DTW) and functionalities which offers KINECT technology; as a strategy in the prevention of automobile accidents, Caused by states of sleep and distraction in drivers. It is important to emphasize that to develop this system, the functionalities and limitations of other similar systems were analyzed, created to detect drivers in sleep conditions, fatigue or tiredness.

The research presents a Framework based on CMMI and ITIL methodology. It complemented with an ASQ management type, which allows incorporating metrics that directly involve both the development process of embedded systems based on IoT architectures and oriented to industry 4.0 or IIoT. The methodology is based on the development of software for Embedded Systems using SysML modeling. The scheme to allows incorporates necessary mechanisms that enable the management of the System related to service continuity and easy adaptation to changes, considering service connectivity and compatible with an industrial environment. This scheme allows quantifying through indicators each one of the quality levels, providing at the same time the practicality and the systematization of the processes, which in the end translates into a consistent mapping for the standardization of the quality related to the lines of business that imply the treatment of IoT data at industrial level. The methodology permits are simplifying the need to deal with rapid software changes, one of the essential tasks of software systems development and maintenance teams. Due to the lack of standards and regulated work schemes for the development of IoT architectures; therefore, it is intended to establish implicitly the metrics and an essential work scheme to regulate the design, progress, and development of IIoT architectures, until defining an optimal state of implementation.