Yerzhan Massalin

Papers

Total Citations

138

H-Index

About

Yerzhan Massalin is a researcher at the intersection of assistive robotics and tactile sensing, with key contributions to intent recognition for lower limb prostheses and haptic feedback systems. His most impactful work, "User-Independent Intent Recognition for Lower Limb Prostheses Using Depth Sensing" (89 citations), pioneered a novel approach using depth cameras to infer user activity modes—such as walking, running, or stair ascent—without requiring user-specific training data. This breakthrough addressed a critical limitation of traditional mechanical or electromyographic sensors, which suffer from signal delay and the need for personalized databases. Massalin's earlier feasibility study (35 citations) laid the groundwork for this system, demonstrating that depth imaging alone could reliably distinguish between five locomotion modes. Beyond prosthetics, he contributed to tactile sensing with "A Series Elastic Tactile Sensing Array for Tactile Exploration of Deformable and Rigid Objects" (14 citations), which enhanced robotic interaction with unstructured environments. His work has been recognized for its potential to improve the autonomy and responsiveness of assistive devices, offering a more intuitive experience for amputees. Massalin's research continues to bridge computer vision, robotics, and rehabilitation engineering, making him a notable figure in the development of user-independent prosthetic control systems.