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Rubén Copado is a researcher in the Signal and Data Processing group at TecnoCampus. His work explores how the information contained in different biometric signals, and especially in handwritten signatures, can provide relevant indicators not only to verify identities, but also to detect possible alterations in the neurological state of people.

Rubén Copado is a researcher in the Signal and Data Processing group at TecnoCampus. His work explores how the information contained in different biometric signals, and especially in handwritten signatures, can provide relevant indicators not only to verify identities, but also to detect possible alterations in the neurological state of people.

Analyzing the dynamics of writing—such as stroke speed, pressure, or regularity of movement—allows us to identify subtle patterns associated with certain neurological conditions. This approach opens up new lines of research with potential applications in both the security and health fields, always from a technological perspective based on signal processing and data analysis. 

Biometrics refers to the use of physical or behavioral characteristics—such as voice, face, or handwritten signature—to reliably identify people. This set of techniques is increasingly present in our daily lives, especially in applications related to security and identity verification. 

Discover the video that Copado has done about his research.

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