In this Master’s thesis, a system is proposed which allows users to calculate routes between two locations on a map. The system can be controlled by using only hand and finger gestures. The 3D sensor Leap Motion is used to detect the gestures. To find the locations, two approaches were taken. The first one enables the user to search for a location directly on the map. Five input methods were introduced to move the map and zoom in and out of the map. These are called manual input methods. The other approach was to search for the locations by entering addresses using text input methods. The system employs five different input methods for this approach. To compare the two approaches and their corresponding input methods, three user studies were conducted. The results show that out of the five different text input methods, an onscreen keyboard was best suited. The fastest manual input method was a method which is derived from a joystick control and uses finger gestures for zooming. For scenarios where two close locations are used, a combination of the text input and the manual input should be chosen in order to minimize the input time. Possible use cases of the system are ticket vending machines at train stations or indoor navigation systems. Gesture input has an advantage over touchscreens, which are usually used for these systems, in that it is more hygienic since it works touchless. In addition, gesture input can also be used wearing gloves.