📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

A survey on computer vision techniques for detecting facial features towards the early diagnosis of mild cognitive impairment in the elderly (2019)

First Author: Fei Z

Attributed to: AUTOMAC: AUTOmated Mouse behAviour reCognition funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1080/21642583.2019.1647577

Publication URI: http://dx.doi.org/10.1080/21642583.2019.1647577

Type: Journal Article/Review

Parent Publication: Systems Science & Control Engineering

Issue: 1