| Abstract | 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 five 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 potential barriers 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. |
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