0% Complete
Home
/
12th International Conference on Computer and Knowledge Engineering
Taguchi Design of Experiments Application in Robust sEMG Based Force Estimation
Authors :
Mohsen Ghanaei
1
Hadi Kalani
2
Alireza Akbarzadeh
3
1- Ferdowsi university of mashhad
2- Sadjad University
3- Ferdowsi university of mashhad
Keywords :
Grasp force،Robust estimation،sEMG،DOE،Taguchi
Abstract :
This paper investigates the impact of the parameters that affect the accuracy of the force estimation from sEMG signals, including signal acquisition factors, pre-processing and training ones. It offers a procedure for developing a reliable estimation approach to deal with uncertainties, such as the signal deviation while performing various daily tasks using the hand. For doing this, the Taguchi design of experiments (DOE) approach is used to determine appropriate levels of the factors to decrease the regression error. Factors such as the number of electrodes placed on the forearm and the arm, extracted features, the cropping window length and the training regularization term have been categorized as either controllable or uncontrollable in the DOE table. The experiments are conducted on four subjects who perform six different tasks. The L225 mixed-level orthogonal array is used to specify the levels of factors in each experiment. The orthogonal array drastically reduces the required number of executions compared to a full-factorial analysis. Using the Minitab software, the signal-to-noise ratios (SNR) are calculated to determine the optimum levels and significance of the factors. Results indicate that the number of forearm electrodes and their placements are the most influential factors. Moreover, the SNR delta for including the arm biceps muscle is about 0.66, which considering its placement difficulties, it does not justify its additional expense.
Papers List
List of archived papers
Classification of Audio Streaming in Network Traffic Based on Machine Learning Methods
Mohammad Nikbakht - Mehdi Teimouri
InfOnto: An ontology for fashion influencer marketing based on Instagram
Somaye Sultani - Mohsen Kahani
Introducing E4MT and LMBNC: Persian pre-processing utilities
Zakieh Shakeri - Mehran Ziabary - Behrooz Vedadian - Fatemeh Azadi - Saeed Torabzadeh - Arian Atefi
An Efficient Planning Method for Autonomous Navigation of a Wheeled-Robot based on Deep Reinforcement Learning
Ali Salimi Sadr - Mahdi Shahbazi Khojasteh - Hamed Malek - Armin Salimi-Badr
TriMAE: Fashion visual search with Triplet Masked Auto Encoder Vision Transformer
Lachin Zamani - Reza Azmi
Two-step thermal-aware routing algorithm in 3D NoC
Majid Nezarat - Masoume Momeni
Identifying novel disease genes based on protein complexes and biological features
Mahshad Hashemi - Eghbal Mansoori
Enhanced Skin Cancer Classification Using Deep Learning and Gradient Boosting Techniques
Amir Mohammad Sharafaddini - Najme Mansouri
Age Estimation Based on Facial Images Using Hybrid Features and Particle Swarm Optimization
NILOUFAR MEHRABI - SAYED PEDRAM HAERI BOROUJENI
XAI for Transparent Autonomous Vehicles: A New Approach to Understanding Decision-Making in Self-driving Cars
Maryam Sadat Hosseini Azad - Amir Abbas Hamidi Imani - Shahriar Baradaran Shokouhi
more
Samin Hamayesh - Version 41.7.6