Brittany Pousett

Papers

5

Total Citations

265

H-Index

5

About

Brittany Pousett is a pioneering researcher in the field of assistive technology and prosthetic control, whose work has significantly advanced the way robotic upper extremity prostheses are operated by individuals with limb loss. Her research centers on developing more intuitive and reliable human-machine interfaces, with a particular focus on Force Myography (FMG) — a sensing technique that detects pressure patterns from residual limb muscles to decode user intent. Pousett's most influential contribution, "Force Myography to Control Robotic Upper Extremity Prostheses: A Feasibility Study" (2016), has garnered 137 citations and helped establish FMG as a credible alternative to conventional surface electromyography (sEMG). Her subsequent work explored the combination of FMG and sEMG with pattern recognition algorithms to overcome persistent challenges such as limb position effects and channel selection optimization — long-standing barriers to real-world prosthetic usability. Through multiple case studies and pilot investigations, Pousett has demonstrated the practical viability of biomimetic, multi-sensor prosthetic control systems. With a cumulative citation record exceeding 265 references, her contributions have meaningfully shaped the trajectory of prosthetic engineering, offering renewed hope for users seeking more natural and functional control of advanced bionic limbs.

Research Focus

Key Achievements

5
H-Index
5
Papers
265
Total Citations
53
Avg Citations/Paper
🏆 Most Cited Paper
Force Myography to Control Robotic Upper Extremity Prostheses: A Feasibility Study
137 citations · 2016
📈 Most Prolific Year: 2017 (3 Papers)
🤝 Key Collaborators: 9

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago