Amirreza Naseri

Works (5)

Updated: March 6th, 2026 13:14

2026 article

Efficient and Scalable Tuning of Continuous Impedance Control for Powered Knee Prostheses

Hong, W., Naseri, A., & Huang, H. (2026, January 1). IEEE Robotics and Automation Letters, Vol. 1.

By: W. Hong n, A. Naseri n & H. Huang n 

topics (OpenAlex): Prosthetics and Rehabilitation Robotics; Dielectric materials and actuators; Muscle activation and electromyography studies
Sources: NC State University Libraries, NC State University Libraries
Added: March 4, 2026

2023 article

Development and Online Validation of an Intrinsic Fault Detector for a Powered Robotic Knee Prosthesis

Naseri, A., Liu, M., Lee, I.-C., & Huang, H. H. (2023, October 1). 2023 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, IROS, pp. 2158–2164.

By: A. Naseri n, M. Liu n , I. Lee n & H. Huang n 

topics (OpenAlex): Muscle activation and electromyography studies; Prosthetics and Rehabilitation Robotics; Healthcare Technology and Patient Monitoring
TL;DR: This paper focuses on designing an active fault detector for a robotic knee prosthesis and demonstrates its effectiveness in real time, and expects that this detector can be integrated into a fault tolerance strategy to enhance the reliability and safety of robotic prosthetic legs, enabling users to perform their everyday tasks with greater confidence. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries
Added: March 4, 2024

2023 article

Investigating the Association of Quantitative Gait Stability Metrics With User Perception of Gait Interruption Due to Control Faults During Human-Prosthesis Interaction

Naseri, A., Lee, I.-C., Huang, H., & Liu, M. (2023, January 1). IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 31, pp. 4693–4702.

By: A. Naseri n, I. Lee n, H. Huang n  & M. Liu n 

author keywords: Gait stability measurements; internal disturbance in robotic prosthesis; powered knee prosthesis; individuals with transfemoral amputation; gait stability perception
MeSH headings : Humans; Quality of Life; Gait; Walking; Artificial Limbs; Perception; Biomechanical Phenomena; Prosthesis Design
topics (OpenAlex): Muscle activation and electromyography studies; Prosthetics and Rehabilitation Robotics; Advanced Sensor and Energy Harvesting Materials
TL;DR: The results showed that the center of pressure progression in the sagittal plane and knee momentum can potentially estimate the users’ perceptions of gait stability when experiencing disturbances, which can help improve the development and evaluation ofgait stability control algorithms in robotic prosthetic devices. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries, ORCID
Added: January 2, 2024

2022 article

A simplified model for whole-body angular momentum calculation

Liu, M., Naseri, A., Lee, I.-C., Hu, X., Lewek, M. D., & Huang, H. (2022, December 19). Medical Engineering & Physics, Vol. 111.

By: M. Liu n , A. Naseri n, I. Lee n, X. Hu n, M. Lewek n & H. Huang n 

Contributors: M. Liu n , A. Naseri n, I. Lee n, X. Hu n, M. Lewek n & H. Huang n 

author keywords: Angular momentum; Gait stability; Wearable system; Rigid body model
MeSH headings : Humans; Biomechanical Phenomena; Gait; Lower Extremity; Amputation, Surgical; Motion
topics (OpenAlex): Spaceflight effects on biology; Balance, Gait, and Falls Prevention; Cerebral Palsy and Movement Disorders
TL;DR: This study developed a simplified rigid body model by merging connected body segments to reduce the number of body segments, which need to be monitored, and demonstrated that the Lbody could be estimated by a seven-segment model accurately for both people with and without lower extremity amputation. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries, ORCID
Added: February 27, 2023

2022 article

Characterizing Prosthesis Control Fault During Human-Prosthesis Interactive Walking Using Intrinsic Sensors

Naseri, A., Liu, M., Lee, I.-C., Liu, W., & Huang, H. (2022, June 27). IEEE Robotics and Automation Letters, Vol. 7, pp. 8307–8314.

By: A. Naseri n, M. Liu n , I. Lee n, W. Liu n & H. Huang n 

Contributors: A. Naseri n, M. Liu n , I. Lee n, W. Liu n & H. Huang n 

author keywords: Prosthetics and exoskeletons; safety in HRI; failure detection and recovery; physical human-robot interaction
topics (OpenAlex): Prosthetics and Rehabilitation Robotics; Muscle activation and electromyography studies; Occupational Health and Safety Research
TL;DR: A procedure to study human-robot fault tolerance and inform the future design of robust prosthesis control is presented and the potential of using machine-learning-based schemes in identifying prostheses control faults based on intrinsic sensors on the prosthesis is demonstrated. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries, ORCID
Added: August 29, 2022

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