Using Logic Systems to Interpret Health Data
"Researching into how Artificial Neural Networks and/or Fuzzy Logic can be trained to interpret not just singular data sets, but multiple in a coordinated complex system of interconnected systems."
The primary purpose of this research is to develop a technology which will address indoor tracking and precise location detection on a mobility scooter for the ageing generation, physically impaired/and medical patients.
This technology will be attainable with the integration of the wheelchair technology with Wi-Fi technology, sensors, RFID (Radio Frequency Identification) and a tablet PC for computing and displaying of current positions (in real-time) with class accuracy and navigational assistance for users within buildings.
The users need mobility to accomplish daily tasks efficiently; and it is essential that a tool that can automatically predict indoor locations, detect movement, record vital health information (if need be), and communicate with relevant authorities when necessary be provided to them.
This is indeed a ground breaking angle to health care, security, navigation efficiency and ease of monitoring for carers.