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.


The system consists of three sets of modules: the spatial positioning module, the sound-amplifying module, and the direction guiding module.


  1. The system device is mounted on the ceiling, and the user does not need to carry any sensors.
  2. The system uses image technology for recognition and positioning. It tracks the user's movement track, records the walking process's time, and then stores and analyzes the gait data as the basis for evaluation.
  3. In order to protect user privacy, we only output the coordinate information, and there will not be any part of the image.
  4. In a home environment, when an emergency occurs, the light source or loudspeaker of the direction indicator module can guide the user to move in the correct direction and evacuate.




 InnoZone Booth No. A016