• Title, Summary, Keyword: 얼굴 근육

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Subdivided Facial Muscle Modeling based on MPEG-4 EAP (MPEG-4 FAP 기반 세분화된 얼굴 근육 모델 구현)

  • 이인서;박운기;전병우
    • Proceedings of the IEEK Conference
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    • pp.631-634
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    • 2000
  • In this paper, we propose a method for implementing a system for decoding the parameter data based on Facial Animation Parameter (FAP) developed by MPEG-4 Synthetic/Natural Hybrid Coding (SNHC) subcommittee. The data is displayed according to FAP with human mucle model animation engine. Proposed model has the basic properties of the human skin specified by be energy funtional for realistic facial animation.

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Study of facial movement around eyes in 3D modeling (3D모델링에서 살펴본 눈 주변의 표정에 대한 연구)

  • 문희정
    • Proceedings of the Korea Multimedia Society Conference
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    • pp.597-600
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    • 2003
  • 이 연구에서는, 움직임이 커서 확실하게 움직임의 변화를 확인할 수 있는 입 주변의 움직임보다 움직임이 세밀하고 다양해 표현하기가 까다로울 수 있는 눈 주변의 움직임에 있어서 눈 주변의 세밀한 움직임의 근육을 잡는 것과 움직임의 기준정, 또 타겟들의 적절한 조합이 중요한 요소가 된다고 보고 절기에 근거를 두어 블렌드쉐이프를 적용하여 표정 타겟을 만들어 눈 주변의 표정에 대한 연구를 하여 3D얼굴 애니메이션에 적용시키는 방법으로 페이셜 애니메이션 중에서도 눈 주변의 움직임을 중심으로 제안한다.

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A Study for Facial nerve palsy Patient Pre-Diagnosis System Development (안면근육마비 환자 사전진단 시스템 개발에 관한 연구)

  • Lee, Sun-Young
    • Proceedings of the Korea Information Processing Society Conference
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    • pp.665-667
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    • 2012
  • 안면신경마비(facial nerve paralysis)는 주로 편측성으로 발생하는 안면신경장애에 의한 안면표정근의 마비를 뜻한다. 이러한 안면신경마비는 중추성 안면신경마비와 말초성 안면신경마비 두 가지로 나뉜다. 안면신경마비의 증상으로는 이환측, 구각부의 처짐 및 침을 흘리는 등 입 주위의 증상이 있어 안면표정의 변화를 일으킨다.[1] 본 논문은 사진을 입력 받아 얼굴영역에서 입 특징점을 추출하여 입력 받은 데이터가 안면신경마비 환자인지 아닌지 판단하고자 한다.

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A Study on Effective Facial Expression of 3D Character through Variation of Emotions (Model using Facial Anatomy) (감정변화에 따른 3D캐릭터의 표정연출에 관한 연구 (해부학적 구조 중심으로))

  • Kim, Ji-Ae
    • Journal of Korea Multimedia Society
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    • v.9 no.7
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    • pp.894-903
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    • 2006
  • Rapid technology growth of hardware have brought about development and expansion of various digital motion pictured information including 3-Dimension. 3D digital techniques can be used to be diversity in Animation, Virtual-Reality, Movie, Advertisement, Game and so on. 3D characters in digital motion picture take charge of the core as to communicate emotions and information to users through sounds, facial expression and characteristic motions. Concerns about 3D motion and facial expression is getting higher with extension of frequency in use and range about 3D character design. In this study, the facial expression can be used as a effective method about implicit emotions will be studied and research 3D character's facial expressions and muscles movement which are based on human anatomy and then try to find effective method of facial expression. Finally, also, study the difference and distinguishing between 2D and 3D character through the preceding study what I have researched before.

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Realistic Expression Factor to Visual Presence of Virtual Avatar in Eye Reflection (가상 아바타의 각막면에 비친 반사영상의 시각적 실재감에 대한 실감표현 요소)

  • Won, Myoung Ju;Lee, Eui Chul;Whang, Min-Cheol
    • The Journal of the Korea Contents Association
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    • v.13 no.7
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    • pp.9-15
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    • 2013
  • In the VnR (Virtual and Real Worlds) of recent virtual reality convergence, the modelling of realistic human face is focused on the facial appearance such as the shape of facial parts and muscle movement. However, the facial changing parameters caused by environmental factors beyond the facial appearance factors can be regarded as important ones in terms of effectively representing virtual avatar. Therefore, this study evaluates user's visual feeling response according to the opacity variation of eye reflection of virtual avatar which is considered as a new parameter for reprenting realistic avatar. Experimental result showed that more clear eye reflection induced more realistic visual feeling of subjects. This result can be regarded as a basis for designing realistic virtual avatar by supporting a new visual realistic representing factor (eye reflection) and its degree of representation (reflectance ratio).

Differentiation of Facial EMG Responses Induced by Positive and Negative Emotions in Children (긍정정서와 부정정서에 따른 아동의 안면근육반응 차이)

  • Jang Eun-Hye;Lim Hye-Jin;Lee Young-Chang;Chung Soon-Cheol;Sohn Jin-Hun
    • Science of Emotion and Sensibility
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    • v.8 no.2
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    • pp.161-167
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    • 2005
  • The study is to examine how facial EMG responses change when children experience a positive emotion(happiness) and a negative emotion(fear). It is to prove that the positive emotion(happiness) could be distinguishable from the negative emotion(fear) by the EMG responses. Audiovisual film clips were used for evoking the positive emotion(happiness) and the negative emotion(fear). 47 children (11-13 years old, 23 boys and 24 girls) participated in the study Facial EMG (right corrugator and orbicularis oris) was measured while children were experiencing the positive or negative emotion. Emotional assessment scale was used for measuring children's psychological responses. It showed more than $85\%$ appropriateness and 3.15, 4.04 effectiveness (5 scale) for happiness and fear, respectively. Facial EMG responses were significantly different between a resting state and a emotional state both in happiness and in fear (p<001). Result suggests that each emotion was distinguishable by corrugator and orbicularis oris responses. Specifically, corrugator was more activated in the positive emotion(happiness) than in the negative emotion(fear), whereas orbicularis oris was more activated in the negative emotion(fear) than in the positive emotion(fear).

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Treatment of Snoring and Sleep Apnea with Botulinum Toxin (보툴리눔 독소를 이용한 코골이 및 수면무호흡 치료)

  • Jang, Jae-Young;Chung, A-Young;Kim, Seong-Taek
    • Journal of Dental Rehabilitation and Applied Science
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    • v.29 no.4
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    • pp.391-398
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    • 2013
  • Botulinum toxin has been used for treating strabismus, blepharospasm, cerebral palsy, cervical dystonia, hyperhydrosis, facial wrinkle and chronic migraine under US Food and Drug administration approval. Also it has been tried spasticity-induced pain, post-herpetic neuralgia, myofascial pain and aphthous ulcer as off-label use. In this study, we reviewed recent studies that suggested effects of botulinum toxin on snoring and sleep apnea.

Electrophysiologic Pattern of Facial Muscles in Bell's Palsy (얼굴마비에서 얼굴근육의 전기생리학적 양상)

  • Lee, Sang-Soo;Shin, Dong-Ick
    • Annals of Clinical Neurophysiology
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    • v.6 no.2
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    • pp.75-79
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    • 2004
  • Backgrounds: Electrodiagnostic tests have been developed to estimate the degree of facial nerve injury during the acute phase. Side-to-side amplitude comparison with the affected side expressed as a percentage of the nonaffected side has been one of the most valuable electrophysiologic methods of assessing facial nerve functioning. This study was designed to know whether there is any difference in the side-to-side comparison of amplitudes and terminal latencies of the compound muscle action potentials (CMAP) of the facial muscles in the patients with Bell's palsy. Methods: Electroneurographic recordings with surface electrodes on the frontalis, orbicularis oculi, nasalis, and orbicularis oris muscles were made within 2 weeks post-onset (mean, day 7) in 39 patients. Results: Of the 39 Bell's palsy patients, 38 patients (97.4%) recovered satisfactorily within 6 months. The amplitude of CMAP in all patients was not reduced to 10% or less of that of the contralateral healthy muscle. The correlation of amplitude change between four facial muscles was relatively strong, but the correlation of latency change was weak. When the electroneurographic values were compared in the four muscle groups, the general linear models procedure did not show any significant difference for CMAP amplitude and latency changes (p=0.62-0.63). Conclusions: This study did not show any significant clinical advantage of electroneurographic recordings in more than one facial muscle at the early stage of Bell's palsy.

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Automatic Estimation of 2D Facial Muscle Parameter Using Neural Network (신경회로망을 이용한 2D 얼굴근육 파라메터의 자동인식)

  • 김동수;남기환;한준희;배철수;권오흥;나상동
    • Proceedings of the IEEK Conference
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    • pp.1029-1032
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    • 1999
  • Muscle based face image synthesis is one of the most realistic approach to realize life-like agent in computer. Facial muscle model is composed of facial tissue elements and muscles. In this model, forces are calculated effecting facial tissue element by contraction of each muscle strength, so the combination of each muscle parameter decide a specific facial expression. Now each muscle parameter is decided on trial and error procedure comparing the sample photograph and generated image using our Muscle-Editor to generate a specific face image. In this paper, we propose the strategy of automatic estimation of facial muscle parameters from 2D marker movement using neural network. This also 3D motion estimation from 2D point or flow information in captered image under restriction of physics based face model.

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