Identification of the Onset of Dementia of Older Adults in the Age of Internet of Things

Internet of Things and Machine Learning for Healthy Ageing: Identifying the Early Signs of Dementia

“…There was an activity observer who assisted in marking the log file to identify the beginning and end mark of a specified activity mentioned in Table 1 . However, this can be automated through the activity recognition and identification using IoT that is discussed in a paper by the authors [ 8 ]. In the next section, it is described how the features are extracted from the log data files.…”

“…These are shown in Figure 1. Furthermore, these five types of core symptoms of dementia can be further sub-categorised into sub-symptoms [8]. In addition to these core symptomatic areas, Behavioural and Psychological Symptoms of Dementia (BPSD) can provide different indicators for detecting the onset of dementia.…”

“…Additionally, there have been some attempts to identify the onset of dementia from the behaviour based symptoms of older adults based on detecting wandering using GPS and accelerometer [ 5 , 6 , 7 ]. In the previous work, the authors have proposed a conceptual framework to identify early signs of dementia in older adults by remote monitoring [ 8 ]. They have provided an architectural view of how to detect the anomaly and the symptoms of the onset of dementia in older adults from various activities of daily life.…”

“…These are shown in Figure 1 . Furthermore, these five types of core symptoms of dementia can be further sub-categorised into sub-symptoms [ 8 ].…”