Human motion recognition is an important topic in computer vision as well as security. It is used in scientific research, surveillance cameras industry and robotics technology as well. The human interaction with the objects creates a complex stance. Multiple artefacts such as clutter, occlusions, and backdrop diversity contribute to the complexity of this technology. Wi-Fi signals with the usage of their features could help solve some of these issues, with the help of other wearable sensors, such as: RGB-D camera, IR sensor (thermal camera), inertial sensor etc. This paper reviews various approaches for Wi-Fi human motion recognition systems, their analytical methodologies, challenges and proposed techniques along with the aspects to this paper: (a) applications; (b) single and multi-modality sensing; (c) Wi-Fi-based techniques; d) challenges and future works. More research related to Wi-Fi human related activity recognition can be encouraged and improved.