Digital menu boards (DMB) are convenient for customers as well as sellers. In this paper, we have implemented a DMB using IR-UWB transceivers. Unlike the traditional touch-based interfaces for menu selection, in our proposed system, users can select items from the menu without touching the screen. The screen is used to display the menu, and the users point to the specific menu item to select it. Multiple radar transceivers are used to create a virtual space divided into different grid blocks in front of the digital display. Patterns in the radar data are analyzed using a multiclass support vector machine (SVM) classifier and a histogram of oriented gradient descriptor. The system is trained at two different distances from the radar sensors in order to make it robust against distance changes. The proposed hand pointing-based DMB system was verified through different experiments, with different grid sizes, to investigate accuracy dependence on grid size. The results showed high accuracy; therefore, the system can be used in real-life scenarios.