Learning and recognition for assistive computer vision

Assistive Computer Vision refers to systems that, by relying on imaging sensors, support people with physical and mental diseases to better perform daily tasks enhancing their quality of life. This paper reports recent advancements of Assistive Computer Vision Technologies that break down the barrier of participation and activity limitations for the aforementioned people. The advances in learning and recognizing patterns allow a new point of view in the definition and development of more efficient and effective assistive frameworks [7]. In light of this, it is important to collect the most recent advancements in learning and recognition algorithms to be exploited in different applications to be employed to assist the modern society.