Papers

2

Total Citations

5

H-Index

2

About

Sibyla A. V. e Silva is a researcher at the forefront of assistive robotics and rehabilitation engineering, with a focused expertise in using RGB-D camera technology to analyze and monitor compensatory trunk movements during upper limb rehabilitation. Her work addresses a critical challenge in physical therapy: the tendency of patients to unconsciously use their torso to compensate for impaired arm function, which can hinder recovery. In her most-cited paper (2020, 3 citations), she provides a foundational review of how depth-sensing cameras can capture patient movements to identify these restrictions, laying the groundwork for more precise rehabilitation protocols. Her subsequent study (2020, 2 citations) advances this by integrating wireless systems for real-time monitoring, demonstrating how robotic-assisted approaches can outperform traditional therapeutic methods. Though early in her citation impact, Silva’s contributions are notable for bridging low-cost, accessible sensing technology with clinical rehabilitation needs, offering a scalable solution for improving patient outcomes. Her work signals a promising trajectory in human-robot interaction for healthcare, making her a key voice in the evolution of data-driven, patient-centered rehabilitation strategies.

Research Focus

Key Achievements

2
H-Index
2
Papers
5
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Use of RGB-D Camera for Analysis of Compensatory Trunk Movements in Upper Limbs Rehabilitation
3 citations · 2020
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Universidade Federal do Rio Grande, University of Rio Grande and Rio Grande Community College

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago