Artificial Intelligence and Multimodal Signal Processing in Human-Machine Interaction

Abdulhamit Subasi is a highly specialized expert in the fields of Artificial Intelligence, Machine Learning, and Biomedical Signal and Image Analysis and Security. His extensive expertise in applying machine learning across diverse domains is evident in his numerous contributions, including the authorship of multiple book chapters, as well as the publication of a substantial body of research in esteemed journals and conferences. Dr. Qaisar currently holds the position of Research & Innovation Department Head for the South-East Region at CESI LINEACT, located in France. In recognition of his teaching and learning excellence, he was honored with the Queen Effat Award in May 2016. Dr. Qaisar's accomplishments encompass two granted patents, as well as an extensive portfolio of published works spanning journal articles, book chapters, and conference papers. Furthermore, Dr. Qaisar contributes to the academic community as an editor for various international journals and is actively involved in the technical and review committees of several international journals and conferences. His current areas of research focus include signal processing, circuits and systems, artificial intelligence, event-driven systems, biomedical and bioinformatics applications, smart grid technology, energy storage, and sampling theory. Humaira Nisar has a B.S (Honours) in Electrical Engineering from the University of Engineering and Technology, Lahore, Pakistan, M.S in Nuclear Engineering from Quaid-i-Azam University, Islamabad, Pakistan, another M.S in Mechatronics, and Ph.D. in Information and Mechatronics from Gwangju Institute of Science and Technology, Gwangju, South Korea. She has more than twenty years of research experience. Currently, she is working as a Full Professor in the Department of Electronic Engineering, Universiti Tunku Abdul Rahman, Kampar, Malaysia. Her research interests include signal and image processing, biomedical imaging, neuro-signal processing and analysis, Brain-Computer Interface, and Neurofeedback. She has published hundreds international journal and conference papers. She is a senior member of IEEE

• 1. Introduction to human-machine interactionSYED SAAD AHMED, HUMAIRA NISAR, AND LO PO KIM2. Artificial intelligence techniques for human-machine interactionHAMID MUKHTAR3. Feature extraction techniques for human-computer interactionABDULHAMIT SUBASI AND SAEED MIAN QAISAR4. An overview of techniques and best practices to create intuitive and user-friendly human-machine interfacesVEERENDRA DAKULAGI, KIM HO YEAP, HUMAIRA NISAR, ROHINI DAKULAGI, G N BASAVARAJ, AND MIGUEL VILLAGOMEZ GALINDO5. An overview of EEG-based human-computer interface (HCI)MD MAHMUDUL HASAN, SITI ARMIZA MOHD ARIS, AND NORIZAM SULAIMAN6. Speech-driven human-machine interaction using Mel-frequency Cepstral coefficients with machine learning and CymaticsSAEED MIAN QAISAR7. EEG-based brain-computer interface using wavelet packet decomposition and ensemble classifiersABDULHAMIT SUBASI AND SAEED MIAN QAISAR8. Understanding dyslexia and the potential of AI in detecting neurocognitive impairment in dyslexiaSITI ATIYAH ALI, HUMAIRA NISAR, NURFAIZATUL AISYAH AB AZIZ, NOR ASYIKIN FADZIL, NUR SAIDA MOHAMAD ZABER, AND LUTHFFI IDZHAR ISMAIL9. Early dementia detection and severity classification with deep SqueezeNet convolutional neural network using EEG imagesNOOR KAMAL AL-QAZZAZ, SAWAL HAMID BIN MOHD ALI, AND SITI ANOM AHMAD10. EEG-based stress identification using oscillatory mode decomposition and artificial neural networkSARIKA KHANDELWAL, NILIMA SALANKAR, AND SAEED MIAN QAISAR11. EEG signal processing with deep learning for alcoholism detectionHAMID MUKHTAR12. Machine learning and signal processing for ECG-based emotion recognitionFADIME TOKMAK, AYSE KOSAL BULBUL, SAEED MIAN QAISAR, AND ABDULHAMIT SUBASI13. EOG-based human-machine interaction using artificial intelligenceALBERTO LOPEZ AND FRANCISCO FERRERO14. Surface EMG-based gesture recognition using wavelet transform and ensemble learningABDULHAMIT SUBASI AND SAEED MIAN QAISAR15. EEG-based secure authentication mechanism using discrete wavelet transform and ensemble machine learning methodsABDULHAMIT SUBASI, SAEED MIAN QAISAR, AND AKILA SARIRETE16. EEG-based emotion recognition using AR burg and ensemble machine learning modelsABDULHAMIT SUBASI AND SAEED MIAN QAISAR17. Immersive virtual reality and augmented reality in human-machine interactionMUSTAFA CAN GURSESLI, ANTONIO LANATA, ANDREA GUAZZINI, AND RUCK THAWONMAS18. Mental workload levels of multiple sclerosis patients in the virtual reality environmentSEDA SASMAZ KARACAN AND HAMDI MELIH SARAOGLU19. Vision-based action recognition for the human-machine interactionANKUSH VERMA, VANDANA SINGH, AMIT PRATAP SINGH CHOUHAN, ABHISHEK, AND ANJALI RAWAT20. Security and privacy in human-machine interaction for healthcare sectorANKUSH VERMA, AMIT PRATAP SINGH CHOUHAN, VANDANA SINGH, LEKHA SINGH, GAUTAM SUKLABAIDYA, ABHISHEK SHARMA, AND PANKAJ VERMA