 Insomnia is a common public health issue and a popular research topic. It causes numerous health issues including memory loss, decreased concentration, and weakened problem-solving abilities. Lack of sufficient sleep can lead to skin aging, heart disease, high blood pressure, arrhythmia, and stroke. Modern technologies such as machine learning, classification techniques, and virtual reality, VR, are being used to address this global health concern. These technologies provide potential solutions under certain conditions. This paper presents a sleep-aid system with a single-channel electroencephalogram, e.g. sleep stage classification algorithm to improve sleep quality. The system integrates machine learning, VR, and multimedia technology to promote better sleep. Thirty participants tested the system on three different modalities, 3D VR, 2D video, and music only. The results show that the proposed method outperformed other existing methods. This article was authored by Jing Huang, Li Fengren, Li Fengfeng, and others. We're article.tv, links in the description below.