Dr. Zia Uddin completed his Ph.D. in Biomedical Engineering in 2011. He is currently working as a senior research scientist in Sustainable Communication Technologies Department of SINTEF Digital, Oslo, Norway. He has been leading and collaborating on work packages in various national and international research projects. His research fields are mainly focused on data and feature analysis from various sources for physical/mental healthcare using machine learning/artificial intelligence/XAI. Dr. Zia also has a solid teaching experience with more than 20 computer science-related courses from bachelor’s degree to Ph.D. Dr. Zia has around 170 peer-reviewed research publications, including prestigious international journals, conferences, and book chapters. He was rewarded with the Gold Medal Award (2008) for academic excellence in undergraduate study at International Islamic University Chitatgong, Bangladesh. He was also awarded the Korean Government IT Scholarship (March 2007 to February 2011) and Kyung Hee University President Scholarship (March 2007 to February 2011).

• Acknowledgement.- Preface.- 1. AI for Independent Living.- 2. Multimodal Systems for Independent Living.- 3. Synthetic Data.- 4. Trustworthy AI and Explainability.- 5. Case Studies: Daily Activity Monitoring.- 6. Case Studies: Health Monitoring and Analysis.- 7. Case Studies: Understanding Emotions.- 8. Real-Time Applications.

Dr. Zia Uddin completed his Ph.D. in Biomedical Engineering in 2011. He is currently working as a senior research scientist in Sustainable Communication Technologies Department of SINTEF Digital, Oslo, Norway. He has been leading and collaborating on work packages in various national and international research projects. His research fields are mainly focused on data and feature analysis from various sources for physical/mental healthcare using machine learning/artificial intelligence/XAI. Dr. Zia also has a solid teaching experience with more than 20 computer science-related courses from bachelor’s degree to Ph.D. Dr. Zia has around 170 peer-reviewed research publications, including prestigious international journals, conferences, and book chapters. He was rewarded with the Gold Medal Award (2008) for academic excellence in undergraduate study at International Islamic University Chitatgong, Bangladesh. He was also awarded the Korean Government IT Scholarship (March 2007 to February 2011) and Kyung Hee University President Scholarship (March 2007 to February 2011).

• Acknowledgement.- Preface.- 1. AI for Independent Living.- 2. Multimodal Systems for Independent Living.- 3. Synthetic Data.- 4. Trustworthy AI and Explainability.- 5. Case Studies: Daily Activity Monitoring.- 6. Case Studies: Health Monitoring and Analysis.- 7. Case Studies: Understanding Emotions.- 8. Real-Time Applications.

Dr. Zia Uddin completed his Ph.D. in Biomedical Engineering in 2011. He is currently working as a senior research scientist in Sustainable Communication Technologies Department of SINTEF Digital, Oslo, Norway. He has been leading and collaborating on work packages in various national and international research projects. His research fields are mainly focused on data and feature analysis from various sources for physical/mental healthcare using machine learning/artificial intelligence/XAI. Dr. Zia also has a solid teaching experience with more than 20 computer science-related courses from bachelor’s degree to Ph.D. Dr. Zia has around 170 peer-reviewed research publications, including prestigious international journals, conferences, and book chapters. He was rewarded with the Gold Medal Award (2008) for academic excellence in undergraduate study at International Islamic University Chitatgong, Bangladesh. He was also awarded the Korean Government IT Scholarship (March 2007 to February 2011) and Kyung Hee University President Scholarship (March 2007 to February 2011).

• Acknowledgement.- Preface.- 1. AI for Independent Living.- 2. Multimodal Systems for Independent Living.- 3. Synthetic Data.- 4. Trustworthy AI and Explainability.- 5. Case Studies: Daily Activity Monitoring.- 6. Case Studies: Health Monitoring and Analysis.- 7. Case Studies: Understanding Emotions.- 8. Real-Time Applications.