Modeling and Synthesizing Idiopathic Facial Paralysis

Moosaei, Maryam; Pourebadi, Maryam; Riek, Laurel D.

doi:10.1109/fg.2019.8756591

Cited by 3 publications

(4 citation statements)

References 32 publications

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“…Despite other mandibular movement evaluation systems, the current study analyzes man- However, the use of simulators may reduce preventable medical errors, the main drawback was their design, which completely lacked real facial expressions [19]. Tanaka et al also developed a three-dimensional marker-free system, but the measurement errors of these systems are higher than 1.00 mm and almost impossible to use in clinical applications in dynamic conditions [21].…”

Section: Discussionmentioning

confidence: 99%

“…A Bionic Jaw Motion (BMJ) system consists of a jaw motion analyzer and a robotic joint [18]. However, the use of simulators may reduce preventable medical errors, their design has one major drawback, completely lacking real facial expressions [19]. Some scientists reported a method for three-dimensional measurement inside the body using single-plane fluoroscopy [20] and three-dimensional tracking of masticatory movement [21,22].…”

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confidence: 99%

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Assessment of Mandibular Kinematic Variables using a Motion Analysis System and a Regular Mobile Phone

2023

J Biomed Phys Eng

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Background:The development of a standard motion capture system is needed since the measurement of temporomandibular disorders is time-consuming and costly using laboratory tools.Objective: The current study aimed to investigate the mandibular kinematic variables using a regular mobile phone and the motion analysis system.Material and Methods: In this quasi-laboratory and comparative study, ten healthy individuals participated, and three mobile cameras, nine red markers, and Kinovea software were also used to investigate the mandibular kinematic variables. Nine light reflective markers were used to check the sensitivity, accuracy, and reliability of the proposed system. The motion was analyzed using seven motion analysis infrared cameras and Qualisys Track Manager (QTM) software. Two other raters analyzed the kinematic variables obtained from the mobile to measure intra-and interrater reliability.Results: Pearson's correlation coefficient was obtained at 0.98, 0.75, 0.98, and 0.96, showing a high correlation. The accuracy and reliability validation tests showed an average error and an accuracy of 0.156 mm and 95%, respectively, with a mobile phone. The Intra Class Correlation coefficient showed a high internal correlation in the mentioned confidence interval (0.98 and 0.81, and 0.96 and 0.97). The intraclass correlation coefficient method also showed 97% inter-raster reliability. Conclusion:Mobile phones as a new system can evaluate the kinematic variables of mandibular disorders with appropriate accuracy and reliability.

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Section: Discussionmentioning

confidence: 99%

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confidence: 99%

Assessment of Mandibular Kinematic Variables using a Motion Analysis System and a Regular Mobile Phone

2023

J Biomed Phys Eng

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“…Furthermore, even in studies on cross-cultural FE analysis where subjects pose cultural-specific expressions, still most subjects are identified as Westerners [137], leading to less diverse face models. Finally, people may have asymmetric facial expressions, such as people who have facial paralysis or deformities are rarely included, thus also limiting the diversity of facial models [134]. As a result, expressive robotic and avatar faces developed using theory-driven modeling methods lack the ability to generate a wide range of FEs.…”

Section: Theory-driven Modeling Methodsmentioning

confidence: 99%

“…If the projected video formed a pattern that correlated with the perceivers' prior knowledge of one of six expressions, then they manually assigned a label to identify the expression and its intensity rating accordingly. Other researchers working on labeling FEs use domain experts (e.g., clinicians) to manually label data [134]. Other researchers develop facial expression datasets that use different semi-supervised or unsupervised techniques to label the data [197].…”

Section: Facial Expression and Intensity Data Labelingmentioning

confidence: 99%

Facial Expression Modeling and Synthesis for Patient Simulator Systems: Past, Present, and Future

Pourebadi

Riek

2022

ACM Trans. Comput. Healthcare

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Clinical educators have used robotic and virtual patient simulator systems (RPS) for dozens of years, to help clinical learners (CL) gain key skills to help avoid future patient harm. These systems can simulate human physiological traits; however, they have static faces and lack the realistic depiction of facial cues, which limits CL engagement and immersion. In this article, we provide a detailed review of existing systems in use, as well as describe the possibilities for new technologies from the human–robot interaction and intelligent virtual agents communities to push forward the state of the art. We also discuss our own work in this area, including new approaches for facial recognition and synthesis on RPS systems, including the ability to realistically display patient facial cues such as pain and stroke. Finally, we discuss future research directions for the field.

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The biopsychosociotechnical model: a systems-based framework for human-centered health improvement

Card

2022

Health Systems

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The biopsychosocial model is among the most influential frameworks for human-centered health improvement but has faced significant criticism– both conceptual and pragmatic. This paper extends and fundamentally re-structures the biopsychosocial model by combining it with sociotechnical systems theory. The resulting biopsychosociotechnical model addresses key critiques of the biopsychosocial model, providing a more “practical theory” for human-centered health improvement. It depicts the determinants of health as complex adaptive system of systems; includes the the artificial world (technology); and provides a roadmap for systems improvement by: differentiating between “health status” and “health and needs assessment”, [promoting problem framing]; explaining health as an emergent property of the biopsychosociotechnical context [imposing a systems orientation]; focusing on “interventions” vs. “treatments” to modify the biopsychosociotechnical determinants of health, [expanding the solution space]; calling for a participatory design process [supporting systems awareness and goal-orientation]; and including intervention management to support the full lifecycle of health improvement.

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Modeling and Synthesizing Idiopathic Facial Paralysis

Cited by 3 publications

References 32 publications

Assessment of Mandibular Kinematic Variables using a Motion Analysis System and a Regular Mobile Phone

Assessment of Mandibular Kinematic Variables using a Motion Analysis System and a Regular Mobile Phone

Facial Expression Modeling and Synthesis for Patient Simulator Systems: Past, Present, and Future

The biopsychosociotechnical model: a systems-based framework for human-centered health improvement

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