Title:	USABILITY ASSESSMENT OF FACIAL TRACKING FOR USE IN CLINICAL OUTCOMES AND APPLICATIONS
Author(s):	Francesco Luke Siena, Bill Byrom, Paul Watts and Philip Breedon
ISBN:	978-989-8533-79-1
Editors:	Katherine Blashki and Yingcai Xiao
Year:	2018
Edition:	Single
Keywords:	3D Camera Tracking, Clinical Outcomes, Clinical Endpoints, Cloud Computing Facial Analytics, Facial Tracking, Mobile Applications
Type:	Full Paper
First Page:	125
Last Page:	133
Language:	English
Cover:
Full Contents:	click to dowload
Paper Abstract:	There is an ever-growing body of facial tracking assessment applications available within the health and wellness sector. One of the most prominent areas is the use of 3D cameras and processing technologies in the development of rehabilitation interventions and in the measurement of health outcomes. Recent advancements in facial tracking applications within mobile platforms and cloud computing analytics suggests that new clinical assessment and human computer assessment technologies have significant future potential for pervasive in-clinic and field-based health assessment solutions. This paper reviews the technical capabilities of three facial tracking platforms with a focus on the common issues relating to clinical measurement considerations required for patient-facing systems. Key factors are assessed in relation to 3D camera platforms, mobile applications and cloud computing applications including camera position, lighting and shadows, eye detection and common obstructions or features that affect tracking. Published examples of facial tracking clinical and health wellness applications are presented in relation to human computer interaction interfaces. This paper aims to demonstrate the potential for future applications being developed relating to each of these technologies for clinic-based applications.
	Go Back