MorphFace: a hybrid morphable face for a robopatient
File(s)MorphFace_Final_Submission.pdf (3.88 MB)
Accepted version
Author(s)
Type
Journal Article
Abstract
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 paper
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 frontmounted
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.
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 paper
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 frontmounted
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.
Date Issued
2021-04-01
Date Acceptance
2020-12-18
Citation
IEEE Robotics and Automation Letters, 2021, 6 (2), pp.643-650
ISSN
2377-3766
Publisher
Institute of Electrical and Electronics Engineers
Start Page
643
End Page
650
Journal / Book Title
IEEE Robotics and Automation Letters
Volume
6
Issue
2
Copyright Statement
© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor
Engineering & Physical Science Research Council (EPSRC)
Engineering & Physical Science Research Council (E
Engineering & Physical Science Research Council (EPSRC)
Grant Number
EP/T00603X/1
EP/R511547/1
EP/N03211X/2
Subjects
Science & Technology
Technology
Robotics
Gesture
medical robots and systems
modeling and simulating humans
posture and facial expressions
0913 Mechanical Engineering
Publication Status
Published
Date Publish Online
2021-01-01