Developing A Parser Framework based on OpenPose Skeleton Detection

Artificial Intelligence (AI) as a field of research and interest has been around for quite a long time. With the current state of technology, AI has been utilized in various fields, such as vehicle automation in the automotive, disease preliminary detection in medical, and cybersecurity in information technology. Spatial recognition has become popular owing to the rapid hike in computing power and as a result, real-world applications are starting to appear. In developed countries around the world, particularly those upgraded from developing nations, all faced the problem of the aging population. Based on the lack of frameworks available when using a state-of-the-art pose estimation of OpenPose, the research looks into building a framework to lower the bar of entering the utilization of OpenPose, thus creating opportunities for people without knowledge on data preparation. The framework used by a group of high schoolers proved the ease of access useful for the relative tech-illiterate group and bridging the gap between them and the higher education.