Multimodal Analytics for early Diagnosis of Alzheimer's Disease

Alzheimer's Disease(AD) is a neurocognitive disease that causes impairments of cognition as well as Activities of Daily Living (ADLs). This research investigates the possibility of diagnosing the early stages of AD using the impairments of ADLs. It explores the areas which are difficult to assess and undiagnosed in clinical settings using behavioral analytics. The main focus of the research is to identify unrecognized and abnormal behavioral patterns associated with ADLs with the use of multimodal technologies such as hand movements, facial responses, eye gaze, and spontaneous speech patterns which are visible at prodromal stages of AD and evaluate their association with the corresponding mental status.