"Islam, M. R."

Article

Islam, M. R., Massicotte, D., Massicotte, P. et Zhu, W. P. (2024). Surface EMG-based inter-session/inter-subject gesture recognition by leveraging lightweight All-ConvNet and transfer learning. IEEE Transactions on Instrumentation and Measurement, 73 . ISSN 1557-9662 DOI 10.1109/TIM.2024.3381288

Document issu d'une conférence ou d'un atelier

Islam, M. R., Massicotte, D. et Zhu, W. P. (2020, May 25-28). All-ConvNet: A lightweight all CNN for neuromuscular activity recognition using instantaneous high-density surface EMG images. Dans 2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), Dubrovnik, Croatia DOI 10.1109/I2MTC43012.2020.9129362.

Islam, M. R., Massicotte, D., Nougarou, F., Massicotte, P. et Zhu, W. P. (2020, July 20-24). S-Convnet: A shallow convolutional neural network architecture for neuromuscular activity recognition using instantaneous high-density surface EMG images. Dans 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Montreal, Canada DOI 10.1109/EMBC44109.2020.9175266.

Islam, M. R., Massicotte, D., Nougarou, F. et Zhu, W. P. (2018, June 24-27). HOG and pairwise SVMs for neuromuscular activity recognition using instantaneous HD-sEMG images. Dans 2018 16th IEEE International New Circuits and Systems Conference (NEWCAS), Montreal, Canada DOI 10.1109/NEWCAS.2018.8585731.