Sun 4 Nov 2018 11:30 - 11:45 at Rock Lake - NL4SE Workshop II

Alzheimer’s disease is a progressive illness that affects more than 5.5 million people in the United States with no effective cure or treatment. Symptoms of the disease include declines in memory and speech abilities and increases in aggression and insomnia. Recent research suggests that NLP techniques can detect early cognitive decline as well as monitor the rate of decline over time. The processed data can be used in a smart home environment to enhance the level of home care for Alzheimer’s patients. This paper proposes early-stage research in software engineering and natural language processing for quantifying and evaluating the patient’s cognitive state to determine the required level of support in a smart home.

Sun 4 Nov

10:30 - 12:00: NL4SE - NL4SE Workshop II at Rock Lake
fse-2018-NL4SE10:30 - 10:45
fse-2018-NL4SE10:45 - 11:00
Kevin LeeUniversity of California at Davis, USA, Casey CasalnuovoUniversity of California at Davis, USA
fse-2018-NL4SE11:00 - 11:15
Danielle GonzalezRochester Institute of Technology, USA, Suzanne PrenticeUniversity of South Carolina, USA, Mehdi MirakhorliRochester Institute of Technology
fse-2018-NL4SE11:15 - 11:30
Robert WhiteUniversity College London, UK, Jens KrinkeUniversity College London
fse-2018-NL4SE11:30 - 11:45
Kate M. Bowers, Reihaneh H. HaririOakland University, USA, Katey A. PriceAlbion College, USA
fse-2018-NL4SE11:45 - 12:00
Sergey MatskevichDrexel University, USA, Colin GordonDrexel University