Erin Parker
Papers
4
Total Citations
45
H-Index
3
About
Erin Parker is at the forefront of wearable technology, pioneering the integration of soft robotic sensors (SRS) for human movement analysis. Her research centers on closing the critical gap between rigid electronics and the human body, with a primary focus on human gait recognition and ankle motion capture. Parker’s major contributions include developing novel, pliable sensor systems that can be seamlessly embedded into clothing to model foot-ankle kinematics with remarkable accuracy. Her work has been cited over 45 times, with her 2020 study on deep learning methodologies for gait recognition leading the way. Notably, she has spearheaded the "Closing the Wearable Gap" series, systematically advancing from sensor validation to improved motion capture wearables. Parker has also addressed the practical challenges of wearable durability, investigating how textile and electronic components deteriorate over time in athletic devices. Her development of the Stretch Sensor Tool Kit (SSTK) for benchmark testing represents a foundational achievement, providing standardized methodologies for validating soft robotic sensors. Through her research, Parker is making wearable technology more comfortable, accurate, and durable for real-world applications in sports, rehabilitation, and beyond.
Research Focus
Key Achievements
Top Papers
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