DescriptionWith a growing number of elderly people in the UK, more and more of them suffer from various kinds of cognitive impairment. Cognitive impairment can be divided into different stages such as mild cognitive impairment (MCI) and severe cognitive impairment like dementia. Its early detection can be of great importance. However, it is challenging to detect cognitive impairment in the early stage with high accuracy and low cost, when most of the symptoms may not be fully expressed. This talk first reviews the state of the art techniques for the early detection of cognitive impairment and compares their advantages and weaknesses. In order to build an effective and low-cost autonomous system for detecting and monitoring the cognitive impairment for a wide range of elderly people, the applications of computer vision techniques for the early detection of cognitive impairment by monitoring facial expressions are then addressed. The main research challenges for the early detection of cognitive impairment with high accuracy and low cost are discussed with some research directions. Finally, some preliminary experimental results from applying computer vision techniques to emotion recognition are given.
|Period||25 Dec 2017 → 27 Dec 2017|
|Held at||Nanjing University of Science and Technology, China|
|Degree of Recognition||International|