Peer-reviewed work

Publications

Journal articles on wearable IMU sensing, gait analysis, and haptic feedback for fall prevention.

Wearable Sensing, Gait & Haptics

2026

Real-Time Foot Height Estimation and Activity Classification Using a Foot-Mounted IMU Implemented on a Smartphone

Sharafian Moghaddam, E., & Hejrati, B.

Sensors, 26(10), 3166 MDPI

2025

Real-Time Activity Recognition Using Minimal Biomechanical Features: A Lightweight IMU-Based Classifier for Older Adults

Sharafian Moghaddam, E., Ellis, C., & Hejrati, B.

IEEE Access, 13, 156215–156234 IEEE

2025

The Effects of Real-Time Haptic Feedback on Gait and Cognitive Load in Older Adults

Sharafian Moghaddam, E., Ellis, C., Sidaway, B., Hayes, M., & Hejrati, B.

IEEE Transactions on Neural Systems and Rehabilitation Engineering IEEE TNSRE

2025

Increasing Thigh Extension with Haptic Feedback Affects Leg Coordination in Young and Older Adult Walkers

Alizadeh Noghani, M., Sharafian Moghaddam, E., Sidaway, B., & Hejrati, B.

Journal of Biomechanics, 181, 112525 Elsevier

Robotics & Mechanism Analysis

2023

Trajectory Optimization of a Spot-Welding Robot in the Joint and Cartesian Spaces

Sharafian Moghaddam, E., Saryazdi, M. Gh., & Taghvaeipour, A.

International Journal of Robotics & Automation, 38(2), 109–125 IJRA

2022

Revisiting Screw Theory-Based Approaches in the Constraint Wrench Analysis of Robotic Systems

Sharafian Moghaddam, E., Taghvaeipour, A., & Ghassabzadeh Saryazdi, M.

Robotica, 40(5), 1406–1430 Cambridge

Profiles

Find the most up-to-date list of my work on:

Research Areas

  • Wearable Inertial Measurement Unit (IMU) sensing
  • Gait analysis and biomechanical assessment
  • Fall prevention and elderly-care technologies
  • Haptic feedback and sensory augmentation
  • Real-time mobile signal processing and activity recognition

For research inquiries or collaboration, please contact ehsan.sharafian@maine.edu.