Monitoring System for Persons With Alzheimer's Disease via Video-Object Tracking

Background

Food intake detection methods have been also studied by other researchers. Some of these methods used motion sensors for food intake monitoring, like the work presented in (Farooq & Sazonov, 2016; Doulah et al., 2017; Mendi et al., 2013; Dong & Biswas, 2016; Kalantarin et al., 2015). Swallowing and chewing sounds are features that can be also used effectively to detect an eating event. These sounds can be collected using microphones usually mounted on subject’s body close to the mouth. Some researchers worked on this topic like the work presented in (Farooq et al., 2014; Kalantarian et al., 2016; Turan & Erzin, 2018; Shengjie et al., 2017; Makeyev et al., 2017; Paßler et al., 2012). These sensors are usually attached to subject’s body, this is not applicable for some cases. People with Alzheimer’s for instance may simply forget and remove these sensors since they may perceive them as obtrusive. Therefore, designing and using a vision-based monitoring system could be the best scenario.