Produktbild: Artificial Intelligence and Multimodal Signal Processing in Human-Machine Interaction

Artificial Intelligence and Multimodal Signal Processing in Human-Machine Interaction

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

24.09.2024

Herausgeber

Abdulhamit Subasi + weitere

Verlag

Elsevier Science & Technology

Seitenzahl

424

Maße (L/B/H)

23,6/19,1/2,1 cm

Gewicht

880 g

Sprache

Englisch

ISBN

978-0-443-29150-0

Beschreibung

Portrait

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

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

24.09.2024

Herausgeber

Verlag

Elsevier Science & Technology

Seitenzahl

424

Maße (L/B/H)

23,6/19,1/2,1 cm

Gewicht

880 g

Sprache

Englisch

ISBN

978-0-443-29150-0

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DE
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Elsevier Science & Technology
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EC2Y 5AS London
GB
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  • Produktbild: Artificial Intelligence and Multimodal Signal Processing in Human-Machine Interaction
  • 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