System and method for the inference of activities of daily living and instrumental activities of daily living automatically
Patent №
US 8,894,576
Granted
2014-11-25
Filed 2005
Owner
UNIVERSITY OF VIRGINIA
+1 more
Lab
—
AI components
4
nlp · kr · planning · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
11076604
A method and related system to, among other things, automatically infer answers to all of the ADL questions and the first four questions of the IADL in the home. The inference methods detect the relevant activities unobtrusively, continuously, accurately, objectively, quantifiably and without relying on the patient's own memory (which may be fading due to aging or an existing health condition, such as Traumatic Brain Injury (TBI)) or on a caregiver's subjective report. The methods rely on the judicious placement of a number of sensors in the subject's place of residence, including motion detection sensors in every room, the decomposition of each relevant activity into the sub-tasks involved, identification of additional sensors required to detect the relevant sub-tasks and spatial-temporal conditions between the signals of sensors to formulate the rules that will detect the occurrence of the specific activities of interest.
AI classification
Ownership
UNIVERSITY OF VIRGINIA
assignment · 233890958
UNIVERSITY OF VIRGINIA PATENT FOUNDATION
assignment · 233910277