 Multimodal sensors have become increasingly popular due to their ability to measure multiple physical parameters at once. These sensors can be used in a variety of applications such as epidermal electronics, robotics, health monitoring devices, and human-machine interfaces. Unfortunately, these sensors often suffer from cross-sensitivity, which makes it difficult to accurately measure all of the input signals simultaneously. To overcome this issue, researchers have developed several techniques to decouple the signals, including using different outputs to distinguish between the signals, suppressing the interference, correcting the signal, and employing various decoupling strategies based on different outputs. This review paper provides an overview of these techniques and discusses how they can be used to create more accurate multimodal sensors. This article was authored by Ruoxi Yang, Wang Qingjiang, Navin Tewori, and others. We are article.tv, links in the description below.