Activity Recognition for Assisting People with Dementia

Muhammad Fikry, Defry Hamdhana, Paula Lago, Sozo Inoue,
Contactless Human Activity Analysis, Springer Nature
(Not Available)
22 pages
Technology can help and provide support to people with dementia to ensure their safety during daily
activities. In this paper, we summarize information about activity recognition for people living with
dementia. This paper aims to understand the uses and types of applications, the types of sensors/systems,
methods, and data used within the scope of human activity recognition to monitor, detect symptoms, or
help people with dementia. To this end, 447 abstracts were collected from a Scopus database, which
yielded 127 relevant papers and 102 papers that were considered in detail based on the four categories of
assessment (application, system/sensors, methods, and data). This paper shows the trend that smart
environment technology is most widely used for monitoring people with dementia, wherein machine
learning techniques as a method for activity recognition to achieve the results of testing or implementing
the system. We conclude that combining sensor devices and the addition of smartphone devices in one
system is suitable for implementation because it can be used as an identity such that it distinguishes the
object under study with other objects. During the monitoring process, prevention can be achieved
simultaneously by adding a warning alarm in the smartphone when people with dementia perform
abnormal activities, and the results need to be further analyzed to get the best pattern of activities for
people with dementia. Next, the type of application that was initially designed for monitoring can be
developed into an assistant for people with dementia.

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