We are all excited about the ways technology can create a connected household. From smart lights and thermostats to locks and personal assistants, connected technology can make life easier than ever particularly for those with limited mobility.

Adding smart sensors around the home can certainly add useful data points to understand daily activities, however, the use of these systems alone can miss a big part of the picture. For example, how will sensors be affected in a multi-person household or when caregivers are present? What happens when the resident is outside their room or in a common area?

Without a wearable device to determine who is doing what activity and how it is completed, the data can become muddy fast. The video ‘Uninvited Guests’ shows just how easy it is to trick the system particularly when it becomes irritating to senior users.

Without a wearable, options for activity tracking are sparse. You can track when a refrigerator door is opened or closed with a sensor, but what does that really tell you about eating habits? You can add a sensor to the toilet or the floor, but how would you know who was setting it off? Even if every surface can detect interaction, the overall picture is still incomplete.

The center of activity tracking has to be individualized for each user to understand their unique rhythms and patterns. The solution also has to be able to track their movements to go beyond knowing that they are sitting at a table to understand if they are brushing their hair, eating, or doing a crossword puzzle because each of these activities means something important and different when it comes to the big picture of health.

Wearable technology today can go far beyond the step counting you are used to and when paired with precise location information, AI can get more and more specific about the exact activities taking place.

The CarePredict Tempo wearable for seniors is designed to track and learn fine motor movements like eating, drinking, bathing, grooming, brushing teeth, toileting, walking, sitting, sleeping and more. With all that great information, it is even able to detect changes that could present a health risk before it occurs. Learn more about how CarePredict learns and analyzes activity here.