DTCoach: Your Digital Twin Coach on the Edge During COVID-19 and Beyond

A Digital Twin (DT) is a digital replica of a living or non-living entity, called “real twin.” Data is collected from the real twin and analyzed using Artificial Intelligence (AI), which subsequently provides the real twin with valuable feedback. One of the most promising applications for humans is the DT for health and well-being [1]. Although the DT technology has been widely adopted in industries such as the manufacturing industry, where it has proven highly beneficial, its use in the domain of health is in its infancy. Few researchers have addressed the DT for health. Such is the work in [2] where a DT is proposed for heart disease detection, or in [3] that presents an ecosystem of the DT in the domain of well-being where the real twin's physical activity is measured by the digital twin, which then provides feedback in real-time to the real twin.

Related Work

The research in [4] provided several guidelines for Instrumentation and Measurement research in medical, biomedical, and healthcare papers. In the field of sports, this principle is well applied to the research done in [7]. This paper proposed a lightweight approach to analyze sport videos to detect the number of athletes in frame. Combining edge and color features, they identified the location and number of athletes in the video.