Peyman Servati

University of British Columbia

Papers

1

Total Citations

119

H-Index

1

About

Peyman Servati is a leading innovator at the intersection of wearable electronics, smart textiles, and machine learning. His research focuses on developing flexible, stretchable sensor systems that can capture intricate human motion and interaction with the environment. His most notable contribution is the creation of machine learning-powered stretchable smart textile gloves, which can precisely capture complex hand movements and object interactions. This work, published in 2024 and already garnering 119 citations, represents a significant leap in human-machine interfaces, with applications ranging from virtual reality and robotic teleoperation to rehabilitation and assistive technologies. Servati’s impact is evident in the rapid adoption of his sensor designs, which combine novel materials with advanced data processing algorithms. His achievements include pioneering scalable fabrication methods for conductive textiles and demonstrating real-time gesture recognition with high accuracy. Through his research, Servati is bridging the gap between soft electronics and practical wearable systems, offering transformative tools for how we interact with digital and physical worlds.

Research Focus

Key Achievements

1
H-Index
1
Papers
119
Total Citations
119
Avg Citations/Paper
🏆 Most Cited Paper
Capturing complex hand movements and object interactions using machine learning-powered stretchable smart textile gloves
119 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: University of British Columbia

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago