 This paper proposes a novel solution to improve the performance of a triboelectric textile sensor by applying a superhydrophobic coating made of carbon nanotubes and thermoplastic elastomers. This coating provides improved energy harvesting and human motion sensing capabilities, allowing for gesture recognition tasks to be performed in real time without any external power source. Additionally, the use of machine learning algorithms allows for highly accurate VR slash AR controls such as gun shooting, baseball pitching, and flower arrangement. This article was authored by Fongwan, Jungda Sun, Tyonegihe, and others.