TY - GEN
T1 - MOBI-COG
T2 - 5th Conference on Wireless Health, WH 2014
AU - Nirjon, Shahriar
AU - Emi, Ifat Afrin
AU - Mondol, Md Abu Sayeed
AU - Salekin, Asif
AU - Stankovic, John A.
N1 - Publisher Copyright:
Copyright © 2014 ACM.
PY - 2014/10/29
Y1 - 2014/10/29
N2 - In this paper, we present MOBI-COG which is an application that runs on a mobile device, such as a tablet or a smartphone, and provides an automated and instant dementia screening service. The MOBI-COG App is a complete automation of a widely used 3- minute dementia screening test called the Mini-Cog test, which is administered by primary caregivers for a quick screening of dementia in elderly. Besides asking the patient to remember and then recall a set of three words, the test involves a free-hand clock drawing test. The MOBI-COG App automates all these steps - including the automatic assessment of the correctness of a clock drawn on the touch screen of a mobile device. We train the MOBI-COG App with over 1000 touch-drawn clocks and show that the system is capable of detecting and recognizing digits in less than 100 ms, in-situ (i.e. without the help of any back-end server), with 99.53% accuracy, and is robust to changes in people, sizes of the drawn digits, and screen sizes of the mobile devices. We perform a usability study of MOBI-COG involving eight healthy human subjects and show that the system is capable of performing all three steps of the test effectively. We also provide a summary of the users' comments on the application.
AB - In this paper, we present MOBI-COG which is an application that runs on a mobile device, such as a tablet or a smartphone, and provides an automated and instant dementia screening service. The MOBI-COG App is a complete automation of a widely used 3- minute dementia screening test called the Mini-Cog test, which is administered by primary caregivers for a quick screening of dementia in elderly. Besides asking the patient to remember and then recall a set of three words, the test involves a free-hand clock drawing test. The MOBI-COG App automates all these steps - including the automatic assessment of the correctness of a clock drawn on the touch screen of a mobile device. We train the MOBI-COG App with over 1000 touch-drawn clocks and show that the system is capable of detecting and recognizing digits in less than 100 ms, in-situ (i.e. without the help of any back-end server), with 99.53% accuracy, and is robust to changes in people, sizes of the drawn digits, and screen sizes of the mobile devices. We perform a usability study of MOBI-COG involving eight healthy human subjects and show that the system is capable of performing all three steps of the test effectively. We also provide a summary of the users' comments on the application.
KW - Cognitive screening
KW - Dementia
KW - Mini-cog test
UR - http://www.scopus.com/inward/record.url?scp=84919360450&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84919360450&partnerID=8YFLogxK
U2 - 10.1145/2668883.2668889
DO - 10.1145/2668883.2668889
M3 - Conference contribution
AN - SCOPUS:84919360450
T3 - Proceedings - Wireless Health 2014, WH 2014
BT - Proceedings - Wireless Health 2014, WH 2014
PB - Association for Computing Machinery
Y2 - 29 October 2014 through 31 October 2014
ER -