With an increase in the population of older adults in developed nations globally, research on radar-based human activity recognition for reliable and accurate fall event detection has accelerated exponentially. Radars are safe, contactless, and privacy-preserving sensors that facilitate ‘aging in place’. A plethora of research papers have been published in this field in the last 5 years. The primary goal of all research works is to recognize the human activities from the backscattered radar returns. Despite being a well-researched field, technology-transfer from lab to market is implausible due to several underlying issues that are yet to be addressed. These issues will serve as a potential barrier when implementing the developed technologies in real-life. This article aims to reveal some of these issues that are important for successful technology-transfer of radar-based human activity recognition systems, and potential solutions to mitigate these issues are proposed.