TY - JOUR
T1 - A Survey on Smart Homes for Aging in Place
T2 - Toward Solutions to the Specific Needs of the Elderly
AU - Nathan, Viswam
AU - Paul, Sudip
AU - Prioleau, Temiloluwa
AU - Niu, Li
AU - Mortazavi, Bobak J.
AU - Cambone, Stephen A.
AU - Veeraraghavan, Ashok
AU - Sabharwal, Ashutosh
AU - Jafari, Roozbeh
N1 - Funding Information:
This work was supported in part by the National Science Foundation under grants CNS-1150079, CNS-1738293, ECCS-1509063, and EEC-1648451. Any opinions, findings, conclusions, or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the funding organizations.
Funding Information:
Temiloluwa Prioleau (to9@rice.edu) received her B.S. and Ph.D. degrees in electrical engineering from the University of Texas at Austin and Georgia Tech, Atlanta, in 2010 and 2016, respectively. She is currently a postdoctoral fellow at Rice University, Houston, Texas, and has accepted the position of assistant professor at Dartmouth College, Hanover, New Hampshire, for 2019. She is a recipient of awards including the National Science Foundation Graduate Research Fellowship, Achievement Rewards for College Scientists Fellowship, and Best Student Paper at the 2014 IEEE Engineering in Medicine and Biology Conference. Her research interests include human-centric sensing and health monitoring using mobile and wearable technology.
Funding Information:
Roozbeh Jafari (rjafari@tamu.edu) received his B.Sc. degree in electrical engineering from the Sharif University of Technology, Tehran, Iran, and his Ph.D. degree in computer science from the University of California, Los Angeles, and completed a postdoctoral fellowship at the University of California, Berkeley. He is currently an associate professor of biomedical engineering, computer science and engineering, and electrical and computer engineering at Texas A&M University, College Station. He was the recipient of the National Science Foundation CAREER Award in 2012, the IEEE Real-Time and Embedded Technology and Applications Symposium Best Paper Award in 2011, and the Andrew P. Sage Best Transactions Paper Award from the IEEE Systems, Man and Cybernetics Society in 2014. He is an associate editor of IEEE Sensors Journal, IEEE Internet of Things Journal, and IEEE Journal of Biomedical and Health Informatics. His research interests include wearable computer design and signal processing.
Publisher Copyright:
© 1991-2012 IEEE.
PY - 2018/9
Y1 - 2018/9
N2 - Advances in engineering and health science have brought a significant improvement in health care and increased life expectancy. As a result, there has been a substantial growth in the number of older adults around the globe, and that number is rising. According to a United Nations report, between 2015 and 2030, the number of adults over the age of 60 is projected to grow by 56%, with the total reaching nearly 2.1 billion by the year 2050 [1]. Because of this, the cost of traditional health care continues to grow proportionally. Additionally, a significant portion of the elderly have multiple, simultaneous chronic conditions and require specialized geriatric care. However, the required number of geriatricians to provide essential care for the existing population is four times lower than the actual number of practitioners, and the demandsupply gap continues to grow [2]. All of these factors have created new challenges in providing suitable and affordable care for the elderly to live independently, more commonly known as aging in place.
AB - Advances in engineering and health science have brought a significant improvement in health care and increased life expectancy. As a result, there has been a substantial growth in the number of older adults around the globe, and that number is rising. According to a United Nations report, between 2015 and 2030, the number of adults over the age of 60 is projected to grow by 56%, with the total reaching nearly 2.1 billion by the year 2050 [1]. Because of this, the cost of traditional health care continues to grow proportionally. Additionally, a significant portion of the elderly have multiple, simultaneous chronic conditions and require specialized geriatric care. However, the required number of geriatricians to provide essential care for the existing population is four times lower than the actual number of practitioners, and the demandsupply gap continues to grow [2]. All of these factors have created new challenges in providing suitable and affordable care for the elderly to live independently, more commonly known as aging in place.
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U2 - 10.1109/MSP.2018.2846286
DO - 10.1109/MSP.2018.2846286
M3 - Article
AN - SCOPUS:85053295023
VL - 35
SP - 111
EP - 119
JO - IEEE Signal Processing Magazine
JF - IEEE Signal Processing Magazine
SN - 1053-5888
IS - 5
M1 - 8454407
ER -