| ISBN13: | 9781032858593 |
| ISBN10: | 1032858591 |
| Binding: | Hardback |
| No. of pages: | 298 pages |
| Size: | 234x156 mm |
| Language: | English |
| Illustrations: | 50 Illustrations, black & white; 4 Halftones, black & white; 46 Line drawings, black & white |
| 700 |
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Ambient Assisted Living (AAL) Technologies
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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
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.
Section-1 Overview and Recent Advances in Ambient Assisted Living (AAL) Technologies in Healthcare 4.0
Chapter 1 Overview and Recent Advances in Ambient Assisted Living Technologies Transitioning from Healthcare 4.0 to Healthcare 5.0
Pattisapu Manikanta Manohar
Section-2 Advances in Enabling Technologies for Assisted Living in Healthcare 5.0
Chapter 2 Wearable and Ambient Sensors Applicable in Medical Laboratory and Diagnostic Services in Healthcare
Eno Chongs Mantu, Dooshima Augustina Orshio and Uchejeso Mark Obeta
Chapter 3 GuardianMeds: Empowering Elderly Care with IoT Medication Monitoring
Kasarapu Ramani, Irala Suneetha, Nainaru Pushpalatha and P. Harish
Chapter 4 Internet of Things (IoT), Fog Computing, and Communication Infrastructures for Assisted Living
Paula Lamo and J. Javier Rainer
Chapter 5 Blockchain for Trust, Privacy, and Security in Assisted Living
Shikha Mittal, Chetna Monga, Suvarna Sharma and Kashish Mukhija
Section- 3 Artificial Intelligence (AI) for Data Analysis for Assisted Living in Healthcare 5.0
Chapter 6 Human Fall Detection Using One-Class Support Vector Machine Classifier and Feature Ranking
Rashmi Gupta and Jeetendra Kumar
Chapter 7 Prediction of Clinical Drug Response Using Machine Learning
Nidhika Chauhan and Navneet Kaur
Chapter 8 Novel Approaches to Pill Dispensing: Tackling Non-Adherence in the Management of Chronic Diseases
Inderpreet Kaur, Ujjwal Matoliya and Dharmendra Dangi
Chapter 9 Cognitive Impairment Assessment: Role of Artificial Intelligence in Transforming Early Detection and Care
Richa Singh and Anurag Upadhyay
Chapter 10 Diet Management for Diabetes Patients Using AI
Seema P. Nehete
Chapter 11 Optimizing Diabetes Classification: Hybrid FLANN Model with Evolutionary Optimization Techniques
P. Pujari
Chapter 12 Leveraging Technology for Healthcare Transformation: Telemedicine and Remote Health Monitoring
S.N Kumar, Prabu Selvam, Jomin Joy, Nicole Rakov and Alan James
Chapter 13 Ethical Considerations of AI and Data Security in Assisted Living of this Era
Uchejeso Mark Obeta and Nkechinyere Linda Obeta
Chapter 14 The Impact of Telemedicine Technologies on Brain Small Vessel Disease and Ethical Concerns
Gopi Battineni, Sharmin Chougule, Nalini Chintalapudi, Giovanna Ricci and Francesco Amenta
Section-4 Natural Language Processing (NLP) for Assisted Living in Healthcare 5.0
Chapter 15 NLP Techniques and Applications in Healthcare Systems
Atul Kumar
Chapter 16 Speech Emotion Recognition for Dialogue Systems
M. Soundarya, R. Nancy Deborah, G. Sivakarthi and A.Vinora
Chapter 17 Text Analytics for Health Records and Documentations
N.Sharmila Banu and K. Deepa