Background:
People worldwide are living longer but have difficulty in getting sufficient healthcare treatment from hospitals. Smart home technology has been proposed as the answer to monitoring, treating and managing chronic health conditions at home. Compared with wearable technology, using smart home devices can effectively reduce individuals’ burden in their daily routines and avoid any unfunctional monitoring if older people forget to wear them. The purpose of this study is to evaluate the correlation between steps data from wearable devices and motion data from smart home devices, validating the hypothesis that smart motion sensors can be used to quantify and track individuals’ steps count.

Method:
The study is conducted based on our smart home data ecosystem. Fourteen participants (9 male, 5 female) who are aged between 18 and 34 years old, were recruited in the study. During the experiment, participants were asked to perform basic daily living activities under researchers’ instructions. Fitbit can measure participants’ steps during the session, while Swidget devices can record motion data through passive infrared sensors at the same time. One whole session for a participant can last [1] three hours while the data time interval is 1 minute. As the data is not normally distributed, the Spearman correlation test was chosen as the test tool for evaluating the association.

Results:
The Spearman correlation coefficient is r = 0.42 (range 0.35-0.67; n=14; PLinks:------[1] http://events.decorporate.ca/