Volume 1, Issue 2 • October 4, 2025

Adaptive Haptic Training Protocols for Low-Cost Upper-Limb Prosthetic Controllers

Priya Nair (Student Researcher) — Carnegie Mellon University, Biomedical Engineering; Prof. Leon Wu (Mentor) — Carnegie Mellon University, Robotics Institute

Biomedical EngineeringRoboticsHuman-Computer Interaction

Abstract

The study evaluates adaptive vibration cues for improving control consistency in myoelectric prosthetic training. A four-week protocol with twelve participants reduced target acquisition error by 19% compared with fixed-pattern feedback, with strongest gains in novice users. The paper contributes an open calibration routine and reflects on ethical considerations when collecting biometric interaction data from student participants.

Error Reduction by Feedback Strategy

Figure 8 compares fixed and adaptive haptic cue strategies across training sessions and participant cohorts.

Citation

Nair, P., & Wu, L. (2025). Adaptive Haptic Training Protocols for Low-Cost Upper-Limb Prosthetic Controllers. The Emerging Engineering Investigators Journal, 1(2), 73-86. https://doi.org/10.5281/eeij.2025.114

DOI: 10.5281/eeij.2025.114

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