Age-At-Home

The need for helping elderly individuals or couples remain in their home is increasing as our global population ages. Cognitive processing offers opportunities to assist the elderly by sensing and responding to their actions, needs, and wishes.

To improve overall health many factors must be considered, including diet, exercise, medication adherence, and many other physical metrics, but other non-measurable components (e.g. loneliness) need proxies.

While many approaches require devices to be worn, charged and kept up-to-date, as well as send uncontrolled quantities and details of personal information to the Cloud and potentially unknown consumers, the AgeAtHome experiment is based on minimizing the information shared while maximizing the value for any shared information.

The AgeAtHome project's objective is to improve the lives of people, starting with the elderly, by sensing and responding in the home and leveraging the cloud to understand, learn, plan, and share teachings from those interactions.

This project is an exploration of the IBM Watson & Cloud Platform for the use of high-fidelity, low-latency, private, hybrid cognitive applications.

This video provides an overview.

NEWS

Overview

Analysis

GitHub

The project is openly available on GitHub in two repositories:

More Information

IBM Outthink Aging

IBM Research is developing cognitive technology to build life advisors to support the Elderly. These cognitive advisors will be fueled by fusion of data such as IoT, wearables, social interactions, health, and financial. To power the advisors, IBM Research has built core technology, we called the Knowledge Reactor, that is designed to be a general-purpose reactive data fusion engine for Cognitive IoT. We use the Watson IoT Platform for all the sensor interfaces to feed into our reactive data fusion engine. The Knowledge Reactor will normalize data across various sensors from different manufactures, heterogeneous device types, and so on and build a contextual model to track the Elder's status and behavior, and produce alerts from cognitive agents. The cognitive insights can easily feed into an iPad app like the Elder ones used in the Japan Post project. Through our Cognitive Eldercare Research, we will help governments, industries, and companies around the world as they seek to develop products and technology enabled services for consumers in the new longevity economy.

If you've read all the way to here and you still want more information, you can find me at the following places; or click on the little blue circle in the lower right of your web browser to talk to me directly: LinkedIn GitHub Twitter