About DCMartin
Hacking on Motion Ã👁 to enable Age-At-Home.com
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.
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.
Recent supporters
Mark Kozik bought 5 coffees.
Thanks for all the help - Looking forward to reviewing more of your work!
Posts
My primary hacking effort is focused (currently) on the underlying platform for AI at the edge; to wit: http://github.com/motion-ai/motion-ai The capabilities of AI are very compelling, at least in the laboratory and corresponding research paper. However, deploying AI into the field requires both an understanding of the signal produced, but also the mechanisms for attenuation of that signal and th...
Motion Ã👁
Jun 30, 2020
286 views