Exploring the potential of Big Data for Ambient Assisted Living in Smart Homes
The rapidly increasing population of elderly people has been one of the characteristic features of this modern century. At present there are around 962 million elderly people across the world. Recent studies have predicted that by the year 2050 the population of elderly people will become around 1.6 billion and will end up outnumbering the population of younger people worldwide. The shortage of caregivers is a major concern across the globe. Aging is associated with several healthcare needs which are posing huge burdens to the world economy in the absence of caregivers. In this era of Industry 4.0 where modernization and advancement of technologies are taking place at a very fast pace, people are surrounded by technology all the time. The future of Internet of Things (IoT)-based living spaces for instance Smart Homes and Smart Cities would involve interaction, coordination and communication between humans, machines, robots and other technology-laden devices in multiple ways which will lead to generation of Big Data. The primary challenges in this field are addressing (1) the shortage of caregivers, (2) the healthcare related needs of elderly and (3) assisting older adults to perform Activities of Daily Living which are essential for their sustenance.
This talk aims to explore and present the immense potential that lies at the intersection of Big Data with multiple disciplines for instance Artificial Intelligence, Machine Learning, Data Science and Assistive Technology for addressing these challenges to sustain independent living and active aging of the elderly population in the context of fostering their biological, psychological, behavioral, physical, mental and emotional well-being. This talk will also briefly review the recent researches in this field conducted at the University of Cincinnati at the intersection of these disciplines for developing activity recognition, activity recommendation and behavior intervention systems to support assisted living of older adults in Smart Homes.
Big Data, Smart Homes, Elderly Population
Nirmalya Thakur is associated with the Department of Electrical Engineering and Computer Science at the University of Cincinnati. His research interests have explored the intersection of Human-Computer Interaction, Big Data, Data Science, 5G, Machine Learning, Artificial Intelligence, Internet of Things, Assistive Systems, Affective Computing and their applications in the context of solving real-world problems to improve the quality of life of users in a Smart Home with a specific focus on the elderly population. He has authored 18 publications in these interrelated fields since 2018. Nirmalya has presented his research in several reputed conferences across the globe including the 3rd International Conference on Human Interaction and Emerging Technologies (IHIET), the 8th International Conference on the Internet of Things (IoT), the 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), the IEEE 5G World Forum Conference (IEEE 5GWF), the 8th Annual Computing and Communication Workshop and Conference (CCWC) and several others.
Nirmalya is an active member of the IEEE, ACM and IDF community. He has been and is currently associated with several conferences as a committee member which include – IEEE SMC 2018, IWAACE 2020, ICBDIE 2020, ICAIE 2020, AICS 2020, ISEITCE 2020, ISBDAS 2020 and ICBDSS 2020. He also serves as a reviewer for 9 journals and is associated with 2 journals in an editorial role. He is a recipient of several awards and recognitions for his research-based accomplishments which include the Interdisciplinary Research Fellowship, Risk Management Award and a $5000 award from Office of Research at the University of Cincinnati. To honor his breakthrough research in the field of Computer Science, his biography was included for both online and print publication by Marquis Who’s Who last year, who feature the biographies of the most accomplished individuals from different fields from all over the world in their annual publications.