Gesture recognition is gaining increasing importance in Human-Computer Interaction (HCI). Gesture-based interaction serves as a convenient and natural means for users to interact with computers. However, accurate detection and recognition of human actions is still a big trial that attracts lots of research efforts due to the difficulties related to the human body parts and the difficulty in sensing their actions correctly such as human clothes and their negative consequence on the detection accuracy and the surrounding environmental conditions. Vision centered human activity analysis by means of computer vision as the original answer is still having its limits that are connected to the inability to detect whatsoever happening behind the walls or in the dim places and the uncomfortable feeling of people with cameras all over the place. This paper proposes a methodology that will use RF signals to overcome all the disadvantages of the mentioned methods.