시각을 포함한 치매환자용 스마트 다감각 시나리오 및 시스템 개발

Abstract

This study creates a smart multi-sensory ward in which dementia patients can receive multi-sensory stimulation in daily life and automatically grasp the patient’s condition to increase the convenience of elderly patients. In the process of establishing a smart multi-sensory system, previous studies that stimulate each sensation, tools that can stimulate sensation, machine learning tools that can grasp the patient’s condition, and IoT sensors were investigated. Lighting equipment set similar to the spectrum of daylight was used as a visual stimulus element. ‘Pium’ and ‘Moodo’, smart diffuser devices were used as an olfactory element, and a speaker connected with Raspberry Pi as an auditory element. As factors to determine the patient’s condition, a ‘Teachable Machine’ that detects the patient’s posture through machine learning and a ZigBee communication type IoT sensor were used. After writing a multi-sensory scenario, a smart multi-sensory system was built using Amazon Alexa and Node-RED programs. Unlike conventional multi-sensory therapy that had to be moved to a fixed treatment room at a fixed time, this study created a smart multi-sensory ward that could be treated even in the patient’s daily life without time and space limitations.