The wearable device can detect changes in an older adult that may indicate a health concern that would benefit from early intervention.
Up to 25% of older people at home are malnourished and are 2-4 times more likely to suffer from depression. Without a full-time carer, it can be challenging to catch the many difficulties the elderly face before they become serious problems. The CarePredict @Home system is an innovative solution for detecting issues to help carer teams or family members support older people better.
The system includes two components: the wristband and the context beacons. The wristband has a built-in assist button that will send an alert to the carers when pressed. When connected to Wi-Fi, the button includes two-way audio to speak with them immediately. The beacons are placed around the house so the watch can detect how much time a user spends in each area but also monitor activity levels and falls.
Using artificial intelligence, the system learns what are the typical habits for the individual so it can detect when a behaviour change could indicate a problem. For example, less time in the kitchen may indicate meals are being skipped, or frequent trips to the bathroom could indicate a urine infection. All information is clearly displayed in an app that carers can access at any time and to communicate effortlessly with other family members.