| Summary: | As gesture recognition technology transforms human-computer interactions across various
applications such as Virtual Reality (VR) and other smart wearables, the demand for real-time
gesture recognition on limited-capacity hardware increases. Most of these applications need
efficiency and responsiveness, which highlights the importance of research in lightweight
algorithms capable of real-time processing in resource limited areas. This study evaluates
various lightweight algorithms for their viability in real-time hand gesture recognition on
resource-limited hardware, focusing on the Himax WE-I Development Board.
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