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Pro-active positioning of a social robot intervening upon behavioral disturbances of persons with dementia in a smart nursing home
Affiliation:1. IDLab, Department of Information Technology, Ghent University-imec, Technologiepark 126, B-9052 Gent, Belgium;2. Zorabots, Archimedesstraat 17, B-8400 Oostende, Belgium;1. Department of Electronic and Electrical Engineering, University of Bath, Claverton Down, Bath BA2 7AY, UK;2. Department of Computer Science, University of Bath, Claverton Down, Bath BA2 7AY, UK;3. Falmouth University, Games Academy, Penryn Campus, Treliever Road, Penryn TR10 9FE, UK;1. University of Minnesota School of Nursing, Minneapolis, MN, USA;2. Division of Health Policy and Management, University of Minnesota School of Public Health, Minneapolis, MN, USA;3. Department of Behavioral and Social Sciences, Brown University School of Public Health, Providence, RI, USA;4. Department of Economics, Miami University Farmer School of Business, Oxford, OH, USA;1. Veteran Affairs Pittsburgh Healthcare System, Center for Health Equity Research and Promotion, Pittsburgh, PA, USA;2. Veteran Affairs Pharmacy Benefits Management Service, Center for Medication Safety, Hines, IL, USA;3. Geriatric Research Education and Clinical Center, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, PA, USA;4. University of North Carolina School of Medicine, Chapel Hill, NC, USA;5. University of North Carolina Eshelman School of Pharmacy, Chapel Hill, NC, USA;6. University of New England College of Pharmacy, Portland, ME, USA;7. Corporal Michael J. Crescenz Veterans Affair''s Medical Center, Center for Health Equity Research and Promotion, Philadelphia, PA, USA;8. University of Pennsylvania School of Nursing, Philadelphia, PA, USA;9. University of Pittsburgh School of Medicine, Pittsburgh, PA, USA;10. University of Pittsburgh School of Pharmacy, Pittsburgh, PA, USA;1. Department of Psychological Medicine, The University of Auckland, Auckland, New Zealand;2. Department of Electrical and Computer Engineering, The University of Auckland, Auckland, New Zealand;3. School of Nursing, The University of Auckland, Auckland, New Zealand;4. Department of General Practice and Primary Health Care, The University of Auckland, Auckland, New Zealand;1. Computer Science and Engineering, Bharati Vidyapeeth’s College of Engineering, New Delhi, India;2. Department of ECE, Karunya University, Coimbatore, India
Abstract:Behavioral disturbances of persons with dementia residing in a nursing home impose a significant burden on other residents and on the care staff. A social robot can provide an adequate technological support tool for the caregivers by approaching a resident that exhibits a behavioral disturbance. In this paper, we focus on how to position the robot in the nursing home, taking into account the profile and location of the residents. We minimize the time between the detection of a behavioral disturbance and the robot having arrived near the resident and starting an interaction scenario. Our algorithm is evaluated using realistic data that was collected during 3 months in two Belgian nursing homes.
Keywords:Personalized care  Smart environments  Internet-of-Robotic-Things  Social robotics
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