Detecting Anomalies in Daily Activity Routines of Older Persons in Single Resident Smart Homes: Proof-of-Concept Study.

ABSTRACT:

Background

One of the main challenges of health monitoring systems is the support of older persons in living independently in their homes and with relatives. Smart homes equipped with internet of things devices can allow older persons to live longer in their homes. Previous surveys used to identify sensor-based data sets in human activity recognition systems have been limited by the use of public data set characteristics, data collected in a controlled environment, and a limited number of older participants.

Objective

The objective of our study is to build a model that can learn the daily routines of older persons, detect deviations in daily living behavior, and notify these anomalies in near real-time to relatives.

Methods

We extracted features from large-scale senso

SUBMITTER: Shahid ZK 

PROVIDER: S-EPMC9039812 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature