Improving Dementia Care: Wearable Sensor Data Fusion Techniques

This report investigates the use of wearable sensor-based data fusion techniques for the remote health monitoring of patients with dementia. It highlights the increasing importance of health monitoring systems (HMS) for individuals with dementia, who require regular treatment and smart health solutions. Current technologies, such as wearable sensors, personal sensor networks (PSN), body sensor networks (BSN), and multimedia devices (MD), are examined for their role in monitoring patient health and reminding them of daily routines. The report identifies data fusion as a key technique for managing health data collection but notes issues such as time consumption and accuracy. The research aims to enhance the efficiency of health monitoring devices, address accuracy and timing issues, and improve wearable sensor-based devices for dementia patient care, ultimately contributing to better accessibility and healthcare for dementia patients while potentially replacing complex algorithms with simpler, more efficient techniques.