A Wearable IoT with Complex Artificial Perception Embedding for Alzheimer Patients
Mehdi Roopaei, Paul Rad, John Jeffery Prevost · 2018
Alzheimer's disease (AD) is categorized as a progressive loss of cognitive functions such as impaired short-term memory and spatial cognition. In addition to memory difficulties, people with Alzheimer's experience challenges with visual perception and even recognizing loved ones. This study attempts to develop a platform to support patients who suffer from face perception impairment with an assistive intelligence device. Until recently, the development of wearable IoT devices has been hindered by the lack of their computational power. To achieve this goal, we develop a wearable assistive IoT with complex embedded artificial perception using deep learning for Alzheimer's patients. The experiments show the capability of the proposed system in identifying known faces in a near real-time manner.