Active Monitoring and Training System for the Behavior Pattern of Senior Citizens at Home or Homecare System
For the diagnosis of dementia symptoms in the elderly, in addition to using clinical assessment tests, we hope to use parameters such as patients' gait, behavior patterns, and movement disorders as important indicators for early diagnosis of dementia. The currently developed system is composed of spatial positioning modules, speaker modules, and direction guidance modules. The second-generation new module system has these characteristics, such as miniaturization, low power consumption, easy integration, and easy assembly. The system uses image technology to analyze and identify the user's movement trajectory, and at the same time, observe and monitor the user's movement characteristic information. It will combine artificial intelligence and clinical data analysis to expect early detection of potential patients with mild dementia.