1. Introduction to human-machine interaction SYED SAAD AHMED, HUMAIRA NISAR, AND LO PO KIM 2. Artificial intelligence techniques for human-machine interaction HAMID MUKHTAR 3. Feature extraction techniques for human-computer interaction ABDULHAMIT SUBASI AND SAEED MIAN QAISAR 4. An overview of techniques and best practices to create intuitive and user-friendly human-machine interfaces VEERENDRA DAKULAGI, KIM HO YEAP, HUMAIRA NISAR, ROHINI DAKULAGI, G N BASAVARAJ, AND MIGUEL VILLAGOMEZ GALINDO 5. An overview of EEG-based human-computer interface (HCI) MD MAHMUDUL HASAN, SITI ARMIZA MOHD ARIS, AND NORIZAM SULAIMAN 6. Speech-driven human-machine interaction using Mel-frequency Cepstral coefficients with machine learning and Cymatics SAEED MIAN QAISAR 7. EEG-based brain-computer interface using wavelet packet decomposition and ensemble classifiers ABDULHAMIT SUBASI AND SAEED MIAN QAISAR 8. Understanding dyslexia and the potential of AI in detecting neurocognitive impairment in dyslexia SITI ATIYAH ALI, HUMAIRA NISAR, NURFAIZATUL AISYAH AB AZIZ, NOR ASYIKIN FADZIL, NUR SAIDA MOHAMAD ZABER, AND LUTHFFI IDZHAR ISMAIL 9. Early dementia detection and severity classification with deep SqueezeNet convolutional neural network using EEG images NOOR KAMAL AL-QAZZAZ, SAWAL HAMID BIN MOHD ALI, AND SITI ANOM AHMAD 10. EEG-based stress identification using oscillatory mode decomposition and artificial neural network SARIKA KHANDELWAL, NILIMA SALANKAR, AND SAEED MIAN QAISAR 11. EEG signal processing with deep learning for alcoholism detection HAMID MUKHTAR 12. Machine learning and signal processing for ECG-based emotion recognition FADIME TOKMAK, AYSE KOSAL BULBUL, SAEED MIAN QAISAR, AND ABDULHAMIT SUBASI 13. EOG-based human-machine interaction using artificial intelligence ALBERTO LOPEZ AND FRANCISCO FERRERO 14. Surface EMG-based gesture recognition using wavelet transform and ensemble learning ABDULHAMIT SUBASI AND SAEED MIAN QAISAR 15. EEG-based secure authentication mechanism using discrete wavelet transform and ensemble machine learning methods ABDULHAMIT SUBASI, SAEED MIAN QAISAR, AND AKILA SARIRETE 16. EEG-based emotion recognition using AR burg and ensemble machine learning models ABDULHAMIT SUBASI AND SAEED MIAN QAISAR 17. Immersive virtual reality and augmented reality in human-machine interaction MUSTAFA CAN GURSESLI, ANTONIO LANATA, ANDREA GUAZZINI, AND RUCK THAWONMAS 18. Mental workload levels of multiple sclerosis patients in the virtual reality environment SEDA SASMAZ KARACAN AND HAMDI MELIH SARAOGLU 19. Vision-based action recognition for the human-machine interaction ANKUSH VERMA, VANDANA SINGH, AMIT PRATAP SINGH CHOUHAN, ABHISHEK, AND ANJALI RAWAT 20. Security and privacy in human-machine interaction for healthcare sector ANKUSH VERMA, AMIT PRATAP SINGH CHOUHAN, VANDANA SINGH, LEKHA SINGH, GAUTAM SUKLABAIDYA, ABHISHEK SHARMA, AND PANKAJ VERMA

Covers advances in the multimodal signal processing and artificial intelligence assistive HMIs Presents theories, algorithms, realizations, applications, approaches, and challenges that will have their impact and contribution in the design and development of modern and effective HMI (Human Machine Interaction) system Presents different aspects of the multimodal signals, from the sensing to analysis using hardware/software, and making use of machine/ensemble/deep learning in the intended problem-solving