Siena, F.L. ORCID: 0000-0002-6908-7365, Byrom, B., Watts, P. ORCID: 0000-0002-0133-6687 and Breedon, P. ORCID: 0000-0002-1006-0942, 2018. Usability assessment of facial tracking for use in clinical outcomes. In: IADIS International Conference: Interfaces and Human Computer Interaction 2018, Madrid, Spain, 18-20 July 2018.
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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 fcial 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.
Item Type: | Conference contribution |
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Creators: | Siena, F.L., Byrom, B., Watts, P. and Breedon, P. |
Date: | July 2018 |
Divisions: | Schools > School of Architecture, Design and the Built Environment |
Record created by: | Linda Sullivan |
Date Added: | 17 Oct 2018 15:33 |
Last Modified: | 09 Jan 2019 08:22 |
URI: | https://irep.ntu.ac.uk/id/eprint/34695 |
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