Marcio Bezerra

Papers

Total Citations

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About

Marcio Bezerra is a rising force in the intersection of assistive robotics and immersive rehabilitation technologies. His research primarily focuses on developing intelligent human-robot interaction strategies for gait rehabilitation, particularly for older adults and individuals with neuromusculoskeletal decline. Bezerra’s major contributions include pioneering the integration of Mixed Reality (MR) and Virtual Reality (VR) with smart walker-assisted locomotion, creating engaging, interactive environments that enhance motor control and independence. His most cited work, "Analysis of Gait Kinematics in Smart Walker-Assisted Locomotion in Immersive Virtual Reality Scenario" (2024, 15 citations), demonstrates how VR can be leveraged to analyze and improve gait patterns in aging populations. In a subsequent study (2024, 5 citations), he introduced a novel MR-based multimodal strategy for virtual obstacle avoidance, enabling users to navigate complex environments while interacting with both virtual and physical elements. This work is notable for its potential to transform rehabilitation therapies by making them more immersive and effective. Bezerra’s research addresses a critical global need—supporting the growing elderly population—and his innovative approaches are laying the groundwork for next-generation, technology-driven rehabilitation solutions.