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UID:calendar.345211.field_event_date.0@www.wright.edu
DTSTAMP:20260219T215751Z
CREATED:20181101T141216Z
DESCRIPTION:Committee:  Drs. Tanvi Banerjee\, Advisor\, Amit Sheth\, Willia
 m Romine\, and Jennifer HughesABSTRACT:Dementia caregiver burnout is detri
 mental to both the familial caregiver and their loved ones with dementia. 
 As the population of older adults increases\, both the number of individua
 ls with dementia and their corresponding caregivers increase as well. Thus
 \, we are interested in developing a potential tool to non-invasively dete
 ct signs of caregiver burnout using a mobile application combined with mac
 hine learning. Hence\, the mobile application 'Caregiver Assessment using 
 Smart Technology' (CAST) was developed which personalizes a word scramble 
 game. The CAST application utilizes a heuristically constructed Fuzzy Infe
 rence System (FIS) optimized via a Genetic Algorithm (GA) to provide an in
 dividualized performance measure for each user of CAST. That is\, we attem
 pt to adjust the difficulty of the game using an individual user’s ability
  to solve the word scramble tasks. With a cohort of 48 non-caregiver parti
 cipants and 2 dementia caregiver participants\, we report on the construct
 ion of the FIS\, the optimization of the FIS using the GA\, and analysis o
 f the preliminary results of deciding difficulties of words using standard
  performance metrics precision\, recall\, and F1 score.
DTSTART;TZID=America/New_York:20181107T110000
DTEND;TZID=America/New_York:20181107T130000
LAST-MODIFIED:20181101T150129Z
LOCATION:304 Russ Engineering
SUMMARY:Masters Thesis Defense “The Feasibility of Dementia Caregiver Task 
 Performance Measurement Using Smart Gaming Technology” By Garrett Goodman
URL;TYPE=URI:/events/masters-thesis-defense-%E2%80%9C
 -feasibility-dementia-caregiver-task-performance-measurement-using
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