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Showing 3 results for Taheri
Classification of Physical Work (Load) Based on ANFIS Optimized Model with Genetic Algorithm
Ehsanollah Habibi, Mina Salehi, Ali Taheri, Ghasem Yadegarfar,
Volume 5, Issue 4 (Journal of Ergonomics 2018)
Abstract
Background: Recently adaptive neuro-fuzzy inference system is used for the classification of physical load based on three parameters including %HRmax, HRrest, and body weight. The aim of this study was to optimize this model to reduce the error and increase the accuracy of the model in the classification of physical load.
 Methods: The heart rate and oxygen consumption of 30 healthy men were measured during a step test in the laboratory. The VO2max of the participants was measured directly during a maximal treadmill test. A relationship was observed between the calculated %VO2max which is considered as the gold standard of physical load and the model inputs using ANFIS in MATLAB software version 8.0.0. the genetic algorithm was then applied as an optimization technique to the model.
Results: accuracy, sensitivity, and specificity of the model increased after optimization. The average of accuracy accelerated from 92.95% to 97.92%. The RMSE decreased from 5.4186 to 3.1882. Also, in %VO2max estimation, the maximum error of the mode was ±5% after optimization.
Conclusion: The results of this study show that the use of Genetic Algorithm during training process can increase the accuracy and decrease the error of ANFIS model in the estimation of%VO2max. . The advantages of this model include high precision, simplicity and applicability in real-world working environments and also interpersonal differences.

Design of A Modular, Interactive and Ergonomic Workbench and Chair for Jewelry Making
Mrs. Ramesh Taherian Ojaroud, Dr. Ali Faraji,
Volume 9, Issue 3 (Iranian Journal of Ergonomics 2021)
Abstract
Background and Objectives: The jewelry industry accounts for a large share of the income of the people and the government. Workbench and chair are the main tool for manufacturers, designers, art students and repairmen in this field as a group of users for the efficiency of making jewelry. This research seeks to design a workbench and chair for making jewelry that, in addition to being modular, is also interactive and ergonomic.
Methods: This research is practical as well as qualitative-descriptive in nature. It has used a survey method to collect data in which its most important tools in the practical were verbal-visual (questionnaire, interview) and non-verbal (observation). Its design method was the so-call Design up (Tarrahi Nameh in Persian) which has based on interaction design and a user-centered approach. One of the most useful techniques called the hierarchical analysis process (AHP) has been employed to prioritize users and selected designs.
Results: The result of this research is a modular, interactive and ergonomic workbench and chair under the Mosavvab brand. Their users have the advantage of an independent design resulting from its modularity, benefit from usability as well as engagement user experience due to its interactivity and finally, they satisfy from its safety and comfort due to its ergonomics.
Conclusion: This achievement eliminates tangible and intangible problems and not only provides users with personal satisfaction but also reduces the need for many medical treatments. Six elements of usability such as effectiveness, efficiency, safety/comfort, utility, easy to learn and ease to memory, on the one hand, would be brought. The goals of interaction design as visibility, feedback, constraints, consistency, affordance and engaging user experience, on the other hand, would be illustrated.
 
Designing and modeling shoes for patients with drop foot using statistical and ergonomic analysis
Samaneh Taheri, Karim Atashgar, Mohammadreza Zamani,
Volume 14, Issue 2 (Iranian Journal of Ergonomics-In Press 2026)
Abstract
Background and Objectives: Foot drop is caused by neurological disorders and traumatic injuries and can impair gait pattern and increase energy expenditure during walking. The use of appropriate rehabilitation devices plays an important role in improving patients’ motor performance. The aim of this study was to provide the design basis for a rehabilitation shoe intended to improve selected biomechanical parameters, including toe angle, muscle torque, and step length in patients with foot drop. The findings of this study are considered preliminary design evidence, and further studies with larger sample sizes are required before moving toward product development and manufacturing.

Methods: This study was a case-based biomechanical simulation investigation. The evaluated variables included toe angle, tibialis anterior muscle torque, and step length. These variables were extracted using musculoskeletal modeling in OpenSim software and finite element analysis in ABAQUS. The obtained data were compared under four simulation conditions, including the designed shoe, reference ankle-foot orthosis (AFO), patient condition, and healthy control. Data analysis was performed descriptively based on the evaluation and comparison of biomechanical trend changes.

Results: The results showed that the use of the designed shoe improved toe angle during the swing phase by approximately 80% compared with the patient condition. In addition, tibialis anterior muscle torque increased by approximately 85%, and step length also improved relative to the patient condition. These findings indicate a relative improvement in gait-related biomechanical parameters in the proposed model.

Conclusion: The proposed design improved three key biomechanical parameters, including step length, tibialis anterior muscle torque, and toe angle. Furthermore, the case-based simulation and descriptive statistical findings suggested that the proposed model has the potential to effectively control the coordinated movement of the ankle and forefoot in individuals with foot drop.

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