ABSTRACT
In 2020 where the Covid-19 virus starts spreading around the world, many countries suffered and are forced to go through lockdowns. This creates a new norm where people are encouraged to stay at home and only go out for the purpose of getting necessities. However, in this condition, people are still urged to keep an active lifestyle by doing exercises indoors. This results in the increase of people working out at home with reference to trainer videos found online. Having said so, these trainers cannot advice or look after the people ‘mimicking' them through their screens. Therefore, an idea was sparked to create an exercise assistant program to compare the posture of the user against the video referenced. With this program, it can evaluate the performance and accuracy of exercise done by the user and provide feedback to the user to improve in their future attempt on the same exercise. With the help of the MediaPipe pose estimation model, the Joint Coordinates of the users can be obtained. These data will then be converted into 12 of the main human body Joint Angles before going through a dynamic comparison method called the DTW (Dynamic Time Warping). Thus, the similarity of each joint of the user and the referenced video can be successfully acquired. Other than that, both user's and trainer's Joint Angles are also plotted in graphs at the same time to provide a visual representation of the differences found. This system is believed to have the potential to be integrated into the educational and healthcare world in the future as a method to constantly monitor and notice what is necessary to improve. © School of Engineering, Taylor's University.
ABSTRACT
The COVID-19 outbreak brought challenges to the education sector in Malaysia as schools were shut down and later on, operate under strict standard operating procedures (SOP) and guidelines. This situation caused inconvenience to school authorities as the education process was significantly affected. Smart building systems that integrate various technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), mechanisms and robotics and building management systems allow school authorities to operate the schools under the new norm. Therefore, this research was conducted to propose a safe operation of the physical teaching and learning process in schools by leveraging smart building systems. A qualitative method was adopted which involved the participation of five schools in Kedah. Findings revealed that smart building systems are suitable to be implemented in schools to create a safe environment and operation for the physical teaching and learning process under the new norm. © 2022 by MIP.