Ambient Assisted Living (AAL) Technologies (Innovations in Health Informatics and Healthcare). This item is unavailable.Ambient Assisted Living (AAL) Technologies (Innovations in Health Informatics and Healthcare)

Ambient assisted living (AAL) utilizes information and communication technology to empower individuals to maintain an active and independent lifestyle for as long as possible. The concept of AAL has been around for decades, but with the evolution of the healthcare sector, we have seen significant advancements in AAL technologies. In recent years, there has been a growing trend towards living alone, and AAL plays a crucial role in supporting individuals to live independently. Ambient Assisted Living (AAL) Technologies: Transitioning from Healthcare 4.0 to Healthcare 5.0 is divided into four comprehensive sections that explore the shift from Healthcare 4.0 to Healthcare 5.0.

It covers AAL technology in the context of Healthcare 4.0 and the Internet of Things (IoT) and fog computing frameworks for real-time applications of natural language processing (NLP) in AAL. The text also delves into advanced artificial intelligence methods for data analytics in AAL, focusing on real-time applications and data analysis for practical use. Additionally, the book covers advanced enabling technologies like blockchain, big data, fog computing and cutting-edge AI techniques for assisted living in Healthcare 5.0. The integration of these technologies and perspectives is crucial for advancing assisted living in the realm of Healthcare 5.0. This book is perfect for students and researchers specializing in AAL and NLP. Professionals working on products for assisted living can also benefit from the valuable insights provided by recent research to improve the efficiency and advancement of their products.

The topic of AAL is already a part of the curriculum in many universities and institutes, and this book will help students explore the various applications of NLP within this field. In addition, individuals looking to engage in innovative projects can find inspiration from the latest advancements in AAL.

Rashmi Gupta holds a Ph.D. degree in Computer Applications from the NIT, Raipur.
Currently, she serves as an Assistant Professor in the Department of Computer
Science and Application at Atal Bihari Vajpayee University Bilaspur, Chhattisgarh.
With over 11 years of teaching experience, her research interests encompass natural
language processing, EEG signal processing, and human activity recognition. She
has published more than 20 research papers, conference papers, and book chapters.
She has been awarded grants by AICTE to organize the ATAL Faculty Development
Program and by the Science and Engineering Research Board, DST for conducting
high-end workshops and internships. Demonstrating her commitment to mentorship,
Dr. Gupta has guided over 30 PG and 20 UG students in their research-related major
projects.

Xiomara Patricia Blanco Valencia, a Ph.D. holder in Computer Science and
Automation with a Master’s in Intelligent Systems, is a faculty member at Universidad
International de la Rioja since 2019. She excels as a teacher and researcher in artificial
intelligence and data governance, notably as Managing Editor at IJIMAI since
2021. Formerly at CYTOGNOS as a Software Analyst-Programmer, her work on the
MIDAS project showcased her proficiency in Java programming and AI techniques.
With a rich academic journey, including Ph.D. candidacy at the University of
Salamanca, Xiomara’s expertise spans case-based reasoning, medical diagnosis, and
AI applications. Her extensive publication record underscores her commitment to
advancing computer science and automation, making her a pivotal figure in academia
and industry.

Lalit Mohan Goyal, an Assistant Professor in the Department of Computer
Engineering at J.C. Bose University of Science and Technology, YMCA, Faridabad,
boasts over 19 years of extensive experience in both teaching and research. He has
significantly contributed to the academic realm with 29 SCI and SCIE indexed
research papers published across esteemed journals such as IEEE, Springer, and
Elsevier. Additionally, Dr. Goyal holds eight patents and has served as the editor for 5
books and author of 11 book chapters published by renowned publishers like Springer
and CRC Press. His leadership further exemplifies his dedication to advancing knowledge
in a research project granted by ICMR, New Delhi, and his role as a reviewer
for reputable journals including Springer, IEEE, and ACM publications. Dr. Goyal’s
research interests span various domains, including data mining, theory of computation,
discrete mathematics, and data structures and algorithms. Moreover, he has
imparted his expertise by delivering over 20 keynote lectures in numerous workshops
and conferences, further establishing himself as a respected person in the field.

Jeetendra Kumar has worked as an Assistant Professor in the Department of
Computer Science & Application at Atal Bihari Vajpayee University, Bilaspur,
Chhattisgarh, India for the last 11 years. He holds a Master’s degree (M.Sc.) and
a Master of Technology (M.Tech.) in Computer Science. He has published various
research articles in reputed journals and conferences, including topics like sentiment
analysis, fall detection using machine-learning techniques, IoT applications, automatic
question generation, etc. He has also contributed book chapters on topics related
to neuroscience, smartphone applications, and fog computing in healthcare. He has
completed two research projects sponsored by the State Planning Commission, C.G.,
and Commonwealth Media Centre for Asia (CEMCA) New Delhi and Atal Bihari
Vajpayee University, Bilaspur. He is also a member of prestigious academic societies
such as IEEE, the Indian Science Congress, the International Association of
Engineers (IAENG), the International Computer Science and Engineering Society
(ICSES), and the International Association of Academicians (IAASSE).