Orientation Training System for Elders with Dementia Using Internet of Things

Abstract

Dementia is an irreversible disease, its prevalence increases with age, the elderly with dementia increasing with years become a nonnegligible population, the government and the public shall be prepared for this tide. The information and communication technology is improved continuously in recent years, the Internet of Things technology becomes mature increasingly, which is helpful to the life aspects of home, traffic and shopping, and it can be combined with clinical knowledge and experience for the environment of health care, promoting the senile dementia treatment field to face how to use the complete architecture of Internet of Things to provide an effective adjuvant therapy mechanism. The early dementia temporal orientation training mechanism can be built by using the concept of health care Internet of Things. The infrastructure proposed in this study combines xBeacon sensing equipment with novel hybrid operation modes, including Received Signal Strength Indication (RSSI) positioning, event analysis method and intelligent cutting algorithm, to reduce the slightly disabled patients’ troubles in direction judgment and the probably derived anxiety and unease. The effective record and analysis of routine behavior pattern support the elderly to maintain the mobility in daily life independently, promoting the “home-based care for the aged” and “Aging in Place” visions and the attainment of objectives effectively.