Camila Rodrigues de Carvalho Carvalho

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About

Camila Rodrigues de Carvalho Carvalho is a researcher dedicated to advancing rehabilitation robotics and human–machine interaction, with a primary focus on lower-limb exoskeletons. Her work bridges biomechanics, signal processing, and control systems to create more intuitive and responsive assistive technologies. She is best known for developing a pseudo-online multimodal interface that leverages movement prediction to enhance rehabilitation for lower-limb impairments—a contribution that has earned her early recognition with three citations. More recently, Carvalho introduced a pseudo-online muscle onset detection algorithm featuring threshold auto-adjustment, designed to improve the real-time control of exoskeletons by accurately identifying the start of muscle activity. This innovation addresses a critical challenge in assistive robotics: ensuring seamless, natural coordination between the user and the device. Though her citation counts are modest, her work represents foundational steps toward practical, user-centered rehabilitation tools. Carvalho’s research is particularly notable for its emphasis on pseudo-online processing, which balances computational efficiency with clinical applicability, making her a promising voice in the field of neurorehabilitation engineering.