Preston Peranich
Papers
5
Total Citations
69
H-Index
4
About
Preston Peranich is a leading researcher in wearable technology and human movement analysis, with a primary focus on advancing soft robotic sensors (SRS) for biomechanical applications. His work centers on closing the gap between laboratory-grade motion capture and practical, everyday wearables. Peranich’s major contributions include pioneering the use of pliable, textile-integrated sensors to accurately model foot-ankle kinematics during gait, demonstrating that SRS can reliably capture complex joint movements on both flat and cross-sloped surfaces. His highly cited work, such as "Closing the Wearable Gap—Part VI: Human Gait Recognition Using Deep Learning Methodologies" (26 citations) and "Part II: Sensor Orientation and Placement" (24 citations), has been instrumental in validating sensor linearity and placement for real-world use. Peranich also developed the Stretch Sensor Tool Kit (SSTK), a benchmark testing framework that standardizes SRS validation, and has investigated the long-term durability of textile and electronic components in athletic wearables. His research is notable for its systematic, multi-part approach to solving the challenges of wearable accuracy and durability, making him a key figure in the evolution of smart clothing for health monitoring and rehabilitation.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5