A Loughborough University student has designed a smart mobility aid that helps people with dementia live independently and safely in their own home for longer, whilst reducing the strain on the care system.
Final year Industrial Design student James Bayliss has designed ‘AIDE’ – comprised of a smart walking stick, a wall charger, and a series of Bluetooth beacons that would be placed around the home.
The product works by tracking a person’s daily movements in their home and identifying any actions out of the ordinary. As the person moves around the house with the walking stick, the stick communicates data to the beacons.
Using pattern recognition software and machine learning, this data is turned into a ‘behaviour map’.
AIDE can then identify unusual behaviour – for example, if a person is in the bathroom for much longer than usual, or if the stick moves in a certain manner, which may suggest a fall – and then alert the care network via an app so someone can make contact with the person with dementia.
“This system allows the care network to be able to intervene if something goes wrong without having to be present the whole time. It’s about creating a safety net”, explained Bayliss.
“In my early research, it became very clear from speaking to members of care networks for people with dementia that a cohesive approach to care is what allows people with dementia to feel comfortable in their own space and allow them to continue to align with their sense of self, and as an extension of this, their own independence.
“Currently, the undertaking required to orchestrate and organise all of the independent actors that make up a care network is massively stressful for the primary carers and can feel very disjointed for the person with dementia – AIDE aims to streamline this.”
Several aspects of the electronic and mechanical functions have been prototyped and tested by Bayliss, including an adjustable code for fall detection and the accelerometer/gyroscope chip that allows the system to understand the orientation and movement of the walking stick.
He now hopes to bring all the technology together into a fully functioning prototype and perfect the behavioural mapping and app.