Anyone ever walk into a room and forget why on Earth you were there? Were you about to get a cup of coffee, or get your car keys? Wonderful! It’s frustrating on my level of distraction, now magnify that to the Nth degree, Alzheimer’s. Apply a rules and Induction engine, and poof! A step further away from a managed care facility.
Teaching the AI Induction and rules engine may require the help of your 10 year old grandson. Relatively easy, you might need your grandson to sleep over for a day or two.
It’s all about variations of the same theme, tag a location, a room in an apartment, also action tag, such as getting a cup of coffee from the kitchen. The repetitive nature of the activities with a location tag draws conclusions based on historical behavior. The more variations of action and coinciding location tags, will begin to become ‘smarter’ about your habitual activities. In addition, the calculations create a bell curve, a way to prioritize the most probable Location/Action tags used for the suggested behavior. The ‘outliers’ on the bell curve will have the lowest probability of occurrence.
Kidding, you don’t need that Grandson to help. Speak into the mic, “Train” go into the room and say your activity, coffee. This app will correlate your location, and action. Everyone loves to be included in the Internet of Things, so app features like alerts for deviation from the location ‘map’ are possible.
In earnest, I am mostly certain that this type of solution exists. Barriers to adoption could be computer/ smartphone generational gap. Otherwise, someone is already producing the solution, and I just wasted a bus ride home.
Additionally, this software may be integrated with Apple’s Siri, Google Now, Yahoo Index, Microsoft Cortana, an extension of the Personal Assistant.