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Talk Invitation

04th November 2014

Sheikh Shanawaz Mostafa recently joined M-ITI to be part of the Vision 3D Project with Awaiba, and he will be presenting Clench Strength Prediction for Prosthesis Hand using Surface Electromyography, from his Master’s work in Biomedical Engineering at the University of Khulna University of Engineering & Technology in Khulna, in Bangladesh.

Fábio Faria recently joined M-ITI to be part of the Smart Solar Project with Factor Energia, and he will be presenting Software application for evaluating and implementing photovoltaic microproduction in buildings, from his Master’s work in Renewable Energy - Power Conversion and Sustainable Use, at the Universidade Nova de Lisboa, in Portugal. 


Hand is the main environmental manipulator for humans. Therefore, any accidental lost of hand dose a great harm in amputee life. Only choice he or she left is using prosthesis. However, to duplicate the complex work of hand, the robotic hand is needed to complete two basic operation predict the angular displacement and the estimation of force. "We propose to estimate the clench force using two types of Surface Electromyography (SEMG). The SMEG consists of rectified SEMG and integrated SEMG. A two-layered artificial neural network (ANN) is used as an estimator to map the SEMG for estimating force. For weight adjustment of the estimator Levenberg-Marquardt (L-M) back propagation algorithm is used. The proposed network is trained and tested using SEMG recorded from five subjects. The estimation result clearly show that integrated SEMG performed 3.53 times better than rectified SEMG in the case of cross correlation coefficient and hence integrated SEMG is recommended for clench force estimation.(S.S. Mostafa et al. 2012).

Bio: Sheikh Shanawaz Mostafa was previously involved in a project named "Performance of Different Bio-signals on Different Physiological and Mental State" funded by University Grants Commission (UGC) of Bangladesh in Khulna University of Engineering & Technology (KUET). In 2012, He completed M.Sc. from Khulna University of Engineering & Technology (KUET), from Department of Biomedical Engineering. His thesis was about EMG signal force prediction carried out in biomedical signal processing laboratory, Department of BME of EEE Faculty, KUET, Bangladesh. Before that He received his Bachelor of Science in Electronics and Communication Engineering [B. Sc. Engg. (ECE)] From Khulna University. His undergraduate thesis was about paging channel. His current research interests are: Biomedical signal processing, Machine learning, signal/image/video processing. He has more than fifteen papers, published in different international recognized journals and proceedings of conferences. 


Determining the technical and economic viability of photovoltaic systems in buildings through computer simulation.

Bio: Fábio Faria graduated in Electrical Engineering by the Universidade Lusófona de Humanidade e Tecnologia, later concluding the Masters in Renewable Energy - Power Conversion and Sustainable Use, at the Faculdade de Ciências e Tecnologias da Universidade Nova de Lisboa, with a thesis about Photovoltaic Energy. Recently finished an internship at Empresa de Electricidade da Madeira, SA, where he develloped a study on Analyses of Eolic Resources and Performance of the Eolic Farm of Loiral II.

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