When analysing social interactions, manual labour is often required to identify what is happening. An automated method of detecting who is interacting with who would already prove to be a significant help. This paper looks at how automated interaction detecting can be established. We look at methods of detecting proximity and look deeper into detecting F-formations using proximity. An f-formation is a group of people who are standing together with the intention of conversing. We show that it is possible to detect f-formations using a data-set containing proximity information and f-formations as ground truths. Our results show that using only proximity data from this dataset; we can detect f-formations better than the baseline provided in that dataset.