Patients suffering from various neurological disorders show different emotions when exposed to certain environments, events, or stimuli. Understanding what kind of emotion is shown by a patient helps in the diagnosis and treatment of these patients. In neuromarketing, companies are adopting emotion recognition technologies to understand their customers’ motivations, preferences, and decisions, which will help them improve their product advertisement, product development, pricing, and marketing. Although many techniques have been developed for emotion recognition with a huge amount of success, they can often be said to be complicated and require expensive equipment. In this paper, we developed a desktop application that can detect and recognize participants’ emotions triggered by different experimental or neuromarketing stimuli through galvanic skin response (GSR), which is the aim of this paper.