Artificial Intelligence and Multimodal Signal Processing in Human-Machine Interaction

Herausgeber: Subasi, Abdulhamit; Nisar, Humaira; Qaisar, Saeed Mian

• Broschiertes Buch

Produktbeschreibung

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.

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Produktdetails

• Verlag: Elsevier Science
• Seitenzahl: 424
• Erscheinungstermin: 24. September 2024
• Englisch
• Gewicht: 450g
• ISBN-13: 9780443291500
• ISBN-10: 0443291500
• Artikelnr.: 70891538

Inhaltsangabe

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