CUED Publications database

MorphFace: A Hybrid Morphable Face for a Robopatient

Lalitharatne, TD and Tan, Y and He, L and Leong, F and Van Zalk, N and De Lusignan, S and Iida, F and Nanayakkara, T (2021) MorphFace: A Hybrid Morphable Face for a Robopatient. IEEE Robotics and Automation Letters, 6. pp. 643-650.

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Physicians use pain expressions shown in a patient's face to regulate their palpation methods during physical examination. Training to interpret patients' facial expressions with different genders and ethnicities still remains a challenge, taking novices a long time to learn through experience. This letter presents MorphFace: a controllable 3D physical-virtual hybrid face to represent pain expressions of patients from different ethnicity-gender backgrounds. It is also an intermediate step to expose trainee physicians to the gender and ethnic diversity of patients. We extracted four principal components from the Chicago Face Database to design a four degrees of freedom (DoF) physical face controlled via tendons to span ∼85% of facial variations among gender and ethnicity. Details such as skin colour, skin texture, and facial expressions are synthesized by a virtual model and projected onto the 3D physical face via a front-mounted LED projector to obtain a hybrid controllable patient face simulator. A user study revealed that certain differences in ethnicity between the observer and the MorphFace lead to different perceived pain intensity for the same pain level rendered by the MorphFace. This highlights the value of having MorphFace as a controllable hybrid simulator to quantify perceptual differences during physician training.

Item Type: Article
Divisions: Div F > Machine Intelligence
Depositing User: Cron Job
Date Deposited: 24 Dec 2020 02:43
Last Modified: 13 Apr 2021 10:23
DOI: 10.1109/LRA.2020.3048670