Papers
2
Total Citations
142
H-Index
2
About
Novi Patricia is a researcher whose work sits at the intersection of computer vision, biomedical engineering, and adaptive machine learning. She is best known for her contributions to multi-source domain adaptation, particularly in the context of prosthetic control. Her highly cited paper, "Multi-source Adaptive Learning for Fast Control of Prosthetics Hand" (2014, 41 citations), established a benchmark for adaptive methods using the largest publicly available surface electromyography (sEMG) database for polyarticulated hand prostheses. By leveraging data from multiple subjects, her work demonstrated how adaptive learning can dramatically reduce the calibration time needed for prosthetic devices, making them more responsive and user-friendly. Patricia also contributed to the broader evaluation landscape of computer vision through her involvement in the ImageCLEF 2014 overview paper (101 citations), which analyzed and compared state-of-the-art systems across diverse tasks. Her research is notable for bridging practical rehabilitation needs with rigorous algorithmic benchmarking, offering concrete pathways toward faster, more intuitive control of assistive technologies.
Research Focus
Key Achievements
Top Papers
- 1ImageCLEF 2014: Overview and Analysis of the Results101 citations · 2014
- 2Multi-source Adaptive Learning for Fast Control of Prosthetics Hand41 citations · 2014