 This paper proposes a novel glove design that uses superhydrophobic textiles to improve the accuracy of gesture recognition. This glove is powered by energy harvested from the user's body, making it a cost-effective and self-powered solution for gesture recognition. Machine learning algorithms are used to recognize different gestures, allowing users to interact with virtual reality and augmented reality applications with just their hands. This article was authored by Fungwon, Junga Sun, Taeyangihi and others.