Computerized analysis of facial motions. Objective evaluation of facial palsy.

Isono, Michio; Murata, Kiyotaka; Tanaka, Hisaya; Minoyama, Manabu; Azuma, Hiroji

doi:10.3950/jibiinkoka.97.393

Cited by 7 publications

(2 citation statements)

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“…We have already reported that it is possible to measure changes in area within a polygon, produced when all marked points are connected with a line 10 . The ratio of area at maximum movement to the area at rest was obtained and used for comparative investigation.…”

Section: Discussionmentioning

confidence: 99%

An Objective Evaluation Method for Facial Mimic Motion

Isono

Murata

Tanaka

et al. 1996

Otolaryngol.--head neck surg.

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This technique was designed to establish a simple, objective evaluation system for facial paralysis through the use of a personal computer. A total of 24 marks were placed on the faces of subjects for the following procedures. Movements of the face were photographed with a videocamera and fed continuously into the computer. Ten frames per movement representing facial movement from rest to maximum movement were selected for analysis. By means of a digital Image-processing technique, only the marks placed on the face were extracted, and the movement of these marks was quantitatively analyzed. A total of 44 healthy subjects with no history of facial paralysis were used as a normal control group. The patients with facia! paralysis consisted of nine subjects with Bell's palsy and three with Ramsay Hunt syndrome. In the eye-closing motions, no significant differences were found between the sum of the movement distances on the left and right sides in each normal subject. However, the patients with facial paralysis showed distinct differences from those obtained in the normal subjects. The improvement process was also evaluated with a ratio of affected- and normal-side facial movements.

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Section: Discussionmentioning

confidence: 99%

An Objective Evaluation Method for Facial Mimic Motion

Isono

Murata

Tanaka

et al. 1996

Otolaryngol.--head neck surg.

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show abstract

“…Several grading quantification methods for the evaluation of facial paralysis have been developed. Most of these methods are based on the following hypothesis: the measurement is conducted under the prior knowledge of the facial movement patterns [1][2][3][4][5][6], while a few methods also conduct measurement based on different facial motion patterns stored under pre-defined sequence with the rest face between each pattern for motion discrimination [7][8][9]. All of these methods require the doctor to confirm that each facial action is performed completely and the rest face is also performed between each facial movement.…”

Section: Introductionmentioning

confidence: 99%

Automatic recognition of facial movement for paralyzed face

Wang

Dong

Sun

et al. 2014

Bio-Medical Materials and Engineering

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Facial nerve paralysis is a common disease due to nerve damage. Most approaches for evaluating the degree of facial paralysis rely on a set of different facial movements as commanded by doctors. Therefore, automatic recognition of the patterns of facial movement is fundamental to the evaluation of the degree of facial paralysis. In this paper, a novel method named Active Shape Models plus Local Binary Patterns (ASMLBP) is presented for recognizing facial movement patterns. Firstly, the Active Shape Models (ASMs) are used in the method to locate facial key points. According to these points, the face is divided into eight local regions. Then the descriptors of these regions are extracted by using Local Binary Patterns (LBP) to recognize the patterns of facial movement. The proposed ASMLBP method is tested on both the collected facial paralysis database with 57 patients and another publicly available database named the Japanese Female Facial Expression (JAFFE). Experimental results demonstrate that the proposed method is efficient for both paralyzed and normal faces.

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Automatic evaluation of the degree of facial nerve paralysis

Wang

Shu

Dong

et al. 2015

Multimed Tools Appl

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Facial paralysis affects both mental and physical health of patients. Evaluation of facial paralysis in clinical practice is normally based on the static facial asymmetry at the maximal movement state and the dynamic change of facial muscle movement. However, most existing research only considers one of these two aspects when evaluating the degree of facial paralysis. This will result in an incomplete utilization of the diagnosis information leading to a low evaluation accuracy, or even misjudgment. In this paper, a novel method is presented for evaluating the degree of facial paralysis considering both static facial asymmetry and dynamic transformation factors. A quantitative approach of static facial asymmetry based on local mirror asymmetry is proposed. The method compares the differences of the corresponding local regions between both sides of the face. This makes it effective analyzing the left and right side asymmetry for abnormal faces. A quantitative evaluation of static facial asymmetry is achieved through three steps: localization of local facial regions, extraction of asymmetry features and quantification of bilateral facial asymmetry. Once the static facial asymmetry is quantified, its dynamic counterparts can be calculated using the speed of changings in different regions caused by facial muscle movement. Then we combine the static and dynamic quantification results to evaluate the degree of facial nerve paralysis. The efficiency and effectiveness of the proposed method have been tested using our facial paralysis database with 62 patients. The experiments show that our method produced encouraging performance compared with ground truth.

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Computerized analysis of facial motions. Objective evaluation of facial palsy.

Cited by 7 publications

References 0 publications

An Objective Evaluation Method for Facial Mimic Motion

An Objective Evaluation Method for Facial Mimic Motion

Automatic recognition of facial movement for paralyzed face

Automatic evaluation of the degree of facial nerve paralysis

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