Location Location Location
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.
"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."
This is the use of technological systems to improve people’s way of life. One of the prime focuses today within this area is on health standards, and how they can be sustainably improved. Health data is currently recorded and interpreted manually by health professionals, creating a system of data gathering that is intrusive to our daily lives. By utilising wearable biometric sensors, we can gather that data while the user is going about their normal routine.
The necessities of medical data gathering and interpretation today are demanding more than getting the data quickly and unobtrusively, so we are researching into how Artificial Neural Networks or Fuzzy Logic can be trained to interpret not just singular data sets, but multiple in a coordinated complex system of interconnected systems.
At this stage we are targeting only a few biometric data sets, with the hope that the research will prove a real application in the way medical data is captured and analysed. The data sets include:
But also include a range of non-biometric data sets which can have an impact on interpreting context of the data, such as: