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Human-Machine Interfaces (HMI) allow users to interact with different devices such as computers or home elements. A key part in HMI is the design of simple non-invasive interfaces to capture the signals associated with the user's intentions. In this work, we have designed two different approaches based on Electroencephalography (EEG) and Electrooculography (EOG). For both cases, signal acquisition is performed using only one electrode, which makes placement more comfortable compared todoi:10.3390/s21062220 pmid:33810122 pmcid:PMC8004835 fatcat:wmb3gha6bffbpd4s5c32pqvotm