Keaton Scherpereel

According to our database, Keaton Scherpereel authored at least 5 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Is EMG Information Necessary for Deep Learning Estimation of Joint and Muscle Level States?

Ethan B. Schonhaut, Keaton Scherpereel, Aaron J. Young

IEEE Trans. Biomed. Eng., January, 2026

Hip exoskeleton assistance with machine-learning-based state estimation improves gait kinematics of people with Parkinson's disease.

Keaton Scherpereel, Jessica E. Bath, Anna Roumiantseva, Jacob Marks, Doris D. Wang, Patrick W. Franks

Frontiers Robotics AI, 2026

2025

Deep domain adaptation eliminates costly data required for task-agnostic wearable robotic control.

Keaton Scherpereel, Matthew C. Gombolay, Max K. Shepherd, Carlos Carrasquillo, Omer T. Inan, Aaron J. Young

Sci. Robotics, 2025

2024

Improving Biological Joint Moment Estimation During Real-World Tasks With EMG and Instrumented Insoles.

Keaton Scherpereel, Dean D. Molinaro, Max K. Shepherd, Omer T. Inan, Aaron J. Young

IEEE Trans. Biomed. Eng., September, 2024

2022

Quantifying Asymmetry Between Medial and Lateral Compartment Knee Loading Forces Using Acoustic Emissions.

Hyeon Ki Jeong, Sungtae An, Kinsey Herrin, Keaton Scherpereel, Aaron J. Young, Omer T. Inan

IEEE Trans. Biomed. Eng., 2022