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Artificial Intelligence and Multimodal Signal Processing in Human-Machine Interaction

Specificaties
Paperback, blz. | Engels
Elsevier Science | 2024
ISBN13: 9780443291500
Rubricering
Elsevier Science e druk, 2024 9780443291500
€ 185,79
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Samenvatting

Artificial Intelligence and Multimodal Signal Processing in Human-Machine Interaction presents an overview of an emerging field that is concerned with exploiting multiple modalities of communication in both Artificial Intelligence and Human-Machine Interaction. The book not only provides cross disciplinary research in the fields of multimodal signal acquisition and sensing, analysis, IoTs (Internet of Things), Artificial Intelligence, and system architectures, it also evaluates the role of Artificial Intelligence I in relation to the realization of contemporary Human Machine Interaction (HMI) systems.

Readers are introduced to the multimodal signals and their role in the identification of the intended subjects, mental state and the realization of HMI systems are explored, and the applications of signal processing and machine/ensemble/deep learning for HMIs are assessed. A description of proposed methodologies is provided, and related works are also presented. This is a valuable resource for researchers, health professionals, postgraduate students, post doc researchers and faculty members in the fields of HMIs, Brain-Computer Interface (BCI), Prosthesis, Computer vision, and Mental state estimation, and all those who wish to broaden their knowledge in the allied field.

Specificaties

ISBN13:9780443291500
Taal:Engels
Bindwijze:Paperback

Inhoudsopgave

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