Mouth Region Research Articles

Feature-similarity network via soft-label training for infrared facial emotional classification in human-robot interaction

Facial emotional classification (FEC) is a challenging issue in human-robot interaction. In this study, we proposed a novel FEC network with feature similarity-based soft label training. The proposed model aims at addressing the problems of occlusion and label ambiguity. It argues that the mouth region is very important for FEC task. To this end, all the facial emotional images are firstly used to extract the infrared facial features by the trained ResNet networks. The facial features similarities are computed by the cosine function. The emotional labels can be constructed by the similarities values. Then, Kullback-Leibler distance is employed to measure the difference between the groundtruth label and predicted label. Extension experimental results on two public datasets demonstrate that the proposed model can obtain state-of-the-art performance compared with the existing studies. Furthermore, we have applied proposed model on the assisted driving scene and human robot interaction environment.

The Relevance of the Availability of Visual Speech Cues During Adaptation to Noise-Vocoded Speech.

Purpose This study first aimed to establish whether viewing specific parts of the speaker's face (eyes or mouth), compared to viewing the whole face, affected adaptation to distorted noise-vocoded sentences. Second, this study also aimed to replicate results on processing of distorted speech from lab-based experiments in an online setup. Method We monitored recognition accuracy online while participants were listening to noise-vocoded sentences. We first established if participants were able to perceive and adapt to audiovisual four-band noise-vocoded sentences when the entire moving face was visible (AV Full). Four further groups were then tested: a group in which participants viewed the moving lower part of the speaker's face (AV Mouth), a group in which participants only see the moving upper part of the face (AV Eyes), a group in which participants could not see the moving lower or upper face (AV Blocked), and a group in which participants saw an image of a still face (AV Still). Results Participants repeated around 40% of the key words correctly and adapted during the experiment, but only when the moving mouth was visible. In contrast, performance was at floor level, and no adaptation took place, in conditions when the moving mouth was occluded. Conclusions The results show the importance of being able to observe relevant visual speech information from the speaker's mouth region, but not the eyes/upper face region, when listening and adapting to distorted sentences online. Second, the results also demonstrated that it is feasible to run speech perception and adaptation studies online, but that not all findings reported for lab studies replicate. Supplemental Material https://doi.org/10.23641/asha.14810523.

Occurrence of Pesticide Residues in Freshwater and Estuarine Fishes of Thamirabarani River

Background: Studies pertaining to the presence of OCP residues in the freshwater and marine ûshes caught from the Thamirabarani river basin region are not available to analyze the extent of bioaccumulation to assess their safety for human consumption. Hence, this study was undertaken as a maiden work to examine the OCP residues in the fishes collected from ûve sites spanning from the source to mouth region of the Thamirabarani river system, along with other related niches to examine the effect of environment pollution.Methods: Pesticides from fish muscle and their organs were extracted as per AOAC 2007.01 using QuEChERS method. A Gas Chromatograph model Perkin Elmer - equipped with Ni Electron Capture Detector of activity 15 MCi was used for the analysis. A volume of 1.0µl of the extracts was injected. The operating conditions were capillary column Elite-5 capillary column, 60m x 0.25mm, 1.00µm temperature programme: 70ºC (2 min) to 180ºC (I min) 25ºC/min to 300ºC 5ºC/min, Injection temperature: 270ºC, Detector temperature: 300ºC, Carrier gas: Nitrogen at 1.0 mL/min, Make up gas: Nitrogen at 29 mL/min.Result: Among fishes, rohu accumulated maximum of 0.4014 to 0.605 ug/kg of DDT in station IV and V respectively. Dhananjayan and Muralidharan (2010) reported OCPs in 156 fishes sample from Kaveri river. The average concentration of DDT ranged between 0 and 0.605 ug/kg. Bhuvaneshwari and Babu rajendran (2012) also reported 2.8 ug/g of DDT in fishes from Kaveri river. The low occurrence of DDT in the presence study is mainly due to their rapid degradation with living organisms.

Composition of the genus Loricella (Mollusca: Polyplacophora: Loricidae) and the description of two new species.

The genus chiton Loricella is revised. It comprises nine species. Two of these species, L. neoguinensis n. sp. and L. solomonensis n. sp., are described as new. Based on the analysis of morphological features studied using a scanning electron microscope, a revised diagnosis of the genus is provided. The characters diagnostic for this that distinguish it from the related genus Squamophora are as follows: a tubular hollow inside the dorsal scales, bristles on the dorsal side of the girdle, a wide ventral mouth region, a narrow mantle fold covered with simple longitudinally ribbed scales, smooth ventral scales, pits arranged in longitudinal rows in the central area of the tegmentum, and a bicuspid head of the major lateral teeth of the radula.

Emotion recognition using support vector machine and one-dimensional convolutional neural network

Emotion recognition is the most regularly reviewed concept in examining behavioural perception and human-computer interface. The proposed system considers happy, normal and surprise categories of emotions. The dataset comprises mouth images containing emotions in the form of video frames. The Haar-based cascade classifier is used to segment the mouth region in the face images and the video frames are extracted at 20 frames per second. The histogram of oriented gradients (HOG) and local binary pattern (LBP) are applied to capture the edge and local information from the emotion image by extracting the gradient information and finally combined into a single histogram to form the features where each histogram represents a mouth image. The speeded-up robust features (SURF) and scale-invariant feature transform (SIFT) methods are employed to extract unique points in emotion image with varying number of key-points as features. The support vector machine (SVM) and one-dimensional convolutional neural network (1D-CNN) are trained using these texture features. Trained models are utilized to detect emotions in testing video frames. The experimental results depict that SVM and 1D-CNN achieve an accuracy of 97.44% and 98.51% respectively.

Glenohumeral Arthrodesis Using Pelvic Reconstruction Plates: a Series of 15 Patients

Glenohumeral joint arthrodesis has become a rare entity due to the introduction of shoulder arthroplasty. It is an excellent salvage procedure for patients with severe shoulder dysfunction, with limited treatment options, indicated for brachial plexus injury, tumour resection, chronic infection, failed prosthetic arthroplasty, or pseudoparalysis of the shoulder due to combined rotator cuff and deltoid deficiency. Shoulder arthrodesis relieves the patient of pain and gives a decent amount of function. The aim of this study was to examine the mid-term outcomes of glenohumeral arthrodesis with 2 pelvic recon plates. This study was done in a tertiary referral centre over a period of about 2 years. All the patients were operated on with 2AO 3.5mm recon plates and screws. Indications for surgery comprised unreconstructable rotator cuff tears, a neoplastic lesion, paralytic disorders, TB shoulder, arthritic disease unsuitable for arthroplasty, and sequelae of septic shoulder. Cancellous grafts were used in all operated patients, while a cortical graft was used in the tumour case to fill the bone defect after tumour excision. A minimum of 18 months was essential for inclusion into the study. 15 patients were included in the study. All the patients had decreased postoperative pain, which further decreased to pain-free status at further follow-up visits. All the arthrodeses produced bony union with average time to union of 5.4 months. All patients could feed and dress themselves with the ipsilateral limb. The only complication noted in this series was a superficial infection in 3 patients only, which subsided after wound wash, debridement and antibiotics for 10 days. 1. With specific indications, shoulder arthrodesis results in a good painless postoperative shoulder function and thus presents an excellent operative option. 2. The position of arthrodesis chosen here ensures that the arm rests comfortably at the side. 3. The patients can move their hands to their mouth and facial regions. 4. Recon plates should be used for arthrodesis because they are easy to shape without compromising on strength. 5. Few complications of procedure are there but it is a great therapeutic measure in selected individuals.

Increased Prevalence of Minor Physical Anomalies Among the Healthy First-Degree Relatives of Bipolar I Patients - Results With the Méhes Scale.

Minor physical anomalies are somatic markers of aberrant neurodevelopment, so the higher prevalence of these signs among the relatives of bipolar I patients can confirm minor physical anomalies as endophenotypes. The aim of the study was to evaluate the prevalence of minor physical anomalies in first-degree healthy relatives of patients with bipolar I disorder compared to normal control subjects. Using a list of 57 minor physical anomalies (the Méhes Scale), 20 first-degree unaffected relatives of patients with the diagnosis of bipolar I disorder and as a comparison 20 matched normal control subjects were examined. Minor physical anomalies were more common in the ear, head, mouth and trunk regions among the relatives of bipolar I patients compared to normal controls. By the differentiation of minor malformations and phenogenetic variants, we have found that both minor malformations and phenogenetic variants were more common among the relatives of bipolar I patients compared to the control group, while individual analyses showed, that one minor malformation (sole crease) and one phenogenetic variant (high arched palate) were more prevalent in the relative group. This is the first report in literature on the increased prevalence of minor physical anomalies among the first-degree unaffected relatives of bipolar I patients. The study support the concept, that minor physical anomalies can be endophenotypic markers of bipolar I affective disorder.

Modified Geometrical Method For Visual Lip Extraction From Color Images

Lip Reading or Speech recognition is a visual way of communicating. It depends on watching the speaker's mouth; Especially his lips to understand the letters and words of the speaker. Through the visual image (the form of the expression of the mouth) and the movement of the lips, visual recognition of spoken letters, words, and sentences is made; Gestures and expressions on the face. the position of the mouth and its extracted features help to understand the visual speech more clearly. Researchers are always trying to find the new methods to increase the efficiency of the lip reading systems. for this reason, This paper presents a lip localization. based face detection &features extraction strategy to segment mouth region from input video frames. we have used RGB &HSV color model along with modified channel factor and then applying more edge detection techniques and morphological operations to be a new one of the visual speech recognition tools.

An environmental magnetic record of heavy metal pollution in Vembanad lagoon, southwest coast of India

Magnetic signature of the iron-bearing minerals archived in sediments is sensitive to change in environment and therefore, studied to reconstruct the signals linked with environmental processes. In the present work, we have analyzed 11 sediment cores from Vembanad lagoon, southwest coast of India, to estimate the magnetic fluctuations associated with environmental processes. Down-core variation in magnetic susceptibility and anhysteretic, isothermal and saturation isothermal remnant magnetization and S and H-ratios have been interpreted to map the degree and spatial distribution of anthropogenic pollution in and around the lagoon. Downcore variation of magnetic susceptibility of Vembanad lagoon sediments varies from 10 to 100 × 10−8 m3/ kg. The top layers of sediment samples from river mouth regions (Periyar and Muvattupuzha rivers) show higher susceptibility values and incidentally these samples are of coarse sized. The subtle variations in SIRM/χlf ratios suggest that there are magnetic grain size differences in the samples. The SIRM and χlf relation suggests that dominant magnetic grain size in sediments. The low ARM/χlf ratios suggest a relatively higher ferrimagnetic contribution and coarser magnetite grain size. Rock magnetism data reveal that the coarse magnetic grain size is affecting the pollution of Vembanad lagoon. We also analyzed downcore variability of metal concentrations such as Fe, Mn, Cu, Zn, Ni and Cr, and all these metals exhibit higher concentrations in the top layers of the cores. Our study suggests that higher values of magnetic parameters and metal concentrations are due to various anthropogenic sources.

Research on fatigue detection based on visual features

The high incidence of traffic accidents brings immeasurable losses to life. In order to avoid such crises, researchers and automakers have used many methods to solve this problem. Among them, technology based on visual features is widely used in driver fatigue detection. As fatigue detection plays a vital role in the driving process, the high accuracy of fatigue monitoring is very important. This paper focuses on the method based on convolutional neural network to detect driver fatigue. First, in the face detection part, the Single-Shot Multi-Box Detector algorithm is used to improve the speed and accuracy of face detection to extract the eye and mouth regions; second, the VGG16 network is used to learn fatigue features, which is performed on the NTHU-Drowsy Driver Detection (NTHU-DDD) data set and the other two modified data sets Training test. The main result of this work is that the accuracy of fatigue monitoring is higher than other methods including the original method, with an accuracy rate of over 90%. And it has better generalization ability than the multi-physical feature fusion detection method. At the same time, we propose the fatigue detection method based on convolutional neural network to improve the advanced driver assistance system (ADAS) to make it more robust and reliable decision making.

Knowledge about Oral Maxilofacial Surgery among Compulsory Rotatory Residential Intern

Oral and maxillofacial surgery is a specialty of dentistry concerned with the diagnosis and surgical treatment of congenital or acquired disease, dysfunction, defects or injuries of the mouth, jaws, face, neck, and adjacent craniofacial regions. Oral surgery deals with the diagnosis and treatment of oral conditions of the jaw and mouth structures that require surgical interventions. This dental specialty is limited to the surgical removal of the teeth and the treatment of disease, deformities and defects of the jaws and associated structures. so the current concepts of oral surgery should be aware so that the interns gain ample amount of knowledge in this field

The impact of facemasks on emotion recognition, trust attribution and re-identification

Covid-19 pandemics has fostered a pervasive use of facemasks all around the world. While they help in preventing infection, there are concerns related to the possible impact of facemasks on social communication. The present study investigates how emotion recognition, trust attribution and re-identification of faces differ when faces are seen without mask, with a standard medical facemask, and with a transparent facemask restoring visual access to the mouth region. Our results show that, in contrast to standard medical facemasks, transparent masks significantly spare the capability to recognize emotional expressions. Moreover, transparent masks spare the capability to infer trustworthiness from faces with respect to standard medical facemasks which, in turn, dampen the perceived untrustworthiness of faces. Remarkably, while transparent masks (unlike standard masks) do not impair emotion recognition and trust attribution, they seemingly do impair the subsequent re-identification of the same, unmasked, face (like standard masks). Taken together, this evidence supports a dissociation between mechanisms sustaining emotion and identity processing. This study represents a pivotal step in the much-needed analysis of face reading when the lower portion of the face is occluded by a facemask.

Novel local feature extraction for age invariant face recognition

Age variation is a major problem in the area of face recognition under uncontrolled environments such as pose variation, lighting effects, expression etc. Most of the works of this area have used discriminative feature descriptors. These discriminative feature descriptors are based on their fixed encoding which considers pixels of different radial widths for feature extraction and ignores some radii pixels which hold important discriminative information for age variation. Therefore, consideration of all the pixels of the local region is necessary for important feature extraction in the case of age invariant face recognition. This paper introduces a novel local feature descriptor to find difference pattern and dual directional relation pattern for age invariant face recognition. The proposed descriptor is applied over the preprocessed face images and its parts-periocular region i.e. left and right eye, mouth and nose region of a face image. The proposed difference pattern and dual directional relation pattern descriptors extract the texture features on the local region of a specified dimension. Chi-square metric has been used for finding the similarity between probe and gallery images. Evaluation of the proposed feature descriptor has been performed on two standard challenging datasets FGNET and MORPH for age invariant face recognition. The proposed descriptor performed well and outperformed to the existing age invariant face recognition state-of-the-art methods on FGNET dataset and also performed well on MORPH dataset.

Diversity and distribution of molluscan fauna of Asthamudi estuary, Kerala, India

The survey of molluscan fauna of Ashtamudi estuary of the southwest coast of India recorded the presence of 119 species classified under 3 classes (Polyplacophora, Gastropoda and Bivalvia), 57 families and 96 genera. The species diversity was dominated by the Gastropoda (69 species), followed by the Bivalvia (49 species) and the Polyplacophora (1 species). The report includes four species recorded for the first time from India: Desmaulus edgarianus (Melvill, 1898), Pilosabia trigona (Gmelin, 1791), Nassarius javanus (Schepman, 1891) and Jorunna labialis (Eliot, 1908). The true diversity of the mangrove region was as good as that of a community with 31.380 (= 31) equally common species; the respective values for the bar mouth and lake regions were 15.516 and 8.997, respectively, indicating that the molluscan species assemblage of the mangrove was the most diverse and of the lake, the least. True β-diversity across this gradient registered 1.792, which means that though there were three communities, they were equivalent to only 1.792 (= 2) effective communities, i.e., the three actual communities were as different from each other as 2 with equal weights and no species in common.

Angioedema without wheals: a clinical update

Angioedema without wheals (urticaria) represents a heterogeneous group of clinically indistinguishable diseases of hereditary or acquired etiology. Hereditary angioedema is a rare inherited condition leading to recurrent, sometimes life-threatening angioedema attacks in subcutaneous tissues and gastrointestinal and oropharyngeal mucosa dating back to childhood or adolescence. Most of these patients have mutations in the SERPING1 gene, causing either low C1 inhibitor production (hereditary angioedema with C1 inhibitor deficiency type I) or the production of dysfunctional C1 inhibitor (hereditary angioedema with C1 inhibitor deficiency type II). Hereditary angioedema with normal C1 inhibitor has been defined later. Although C1 inhibitor concentration and function are in the normal range, it leads to typical hereditary angioedema symptoms owing to mutations in FXII, PLG, ANGPT1, KNG1, and MYOF genes. Patients who exhibit none of these genetic mutations despite having a similar clinical presentation are classified as having unknown hereditary angioedema. Fewer than 1 in 10 patients with C1 inhibitor deficiency have acquired angioedema with C1 inhibitor deficiency. The clinical presentation is very similar to that of hereditary angioedema, making it difficult to distinguish these 2 conditions clinically. Unlike hereditary angioedema, there are no genetic mutations, and family history and symptoms tend to appear later in life. Acquired angioedema with C1 inhibitor deficiency is commonly associated with lymphoproliferative and autoimmune diseases. Angioedema attacks might start 1 year before the underlying disease in acquired angioedema with C1 inhibitor deficiency. Approximately half of the patients admitted to the hospital for acute angioedema are patients receiving angiotensin-converting enzyme (ACE) inhibitor therapy. Angioedema typically occurs on the lips, tongue, mouth, pharynx, and subglottic regions. Patients may require hospitalization and intensive care monitoring owing to airway involvement. Idiopathic histaminergic acquired angioedema may be diagnosed only when any possible causes of histaminergic angioedema are excluded (foods, drugs, animal dander, aeroallergens, insect stings, latex, and others), and the symptoms respond well to antihistamine treatment. Idiopathic nonhistaminergic acquired angioedema should be considered when all other types of recurrent angioedema have been ruled out and patients do not respond to high-dose antihistamines. The lack of a standard biochemical laboratory test for patients with idiopathic histaminergic acquired angioedema, idiopathic nonhistaminergic acquired angioedema, angiotensin-converting enzyme inhibitor-induced acquired angioedema, and hereditary angioedema with normal C1 inhibitor makes the diagnosis more challenging. Future efforts should focus on increasing awareness of all the rare types of angioedema among physicians and developing more straightforward and more accessible diagnostic methods.

The Relationship Between Emotion Recognition from Facial Expression and Self-Construal

Previous studies have identified cultural differences in the patterns of emotion recognition, with Eastern cultures emphasizing emotional expression through the eyes and Western cultures emphasizing the facial expression around the mouth. The influence of self-construal has been considered a factor of these cultural differences, but no direct examination has been conducted to clarify how cultural factors are related to self-construal. To examine this relationship and exclude cultural influences other than relational self-construal, this study involved three experiments regarding self-construal and emotion recognition in Japanese subjects. The results showed that the participants perceive sadness more strongly through the eye region when they have a high degree of interdependence, and they perceive happiness more strongly through the mouth region when they have a high degree of independence. The results partially confirm the results of previous research and highlight that self-construal plays a role in interpreting facial cues; these findings suggest that more detailed studies and research focusing on other cultures should be conducted to clarify (1) cultural influence on self-construal and (2) cultural influence on emotion recognition.

The Relationship Between Emotion Recognition from Facial Expression and Self-Construal

Previous studies have identified cultural differences in the patterns of emotion recognition, with Eastern cultures emphasizing emotional expression through the eyes and Western cultures emphasizing the facial expression around the mouth. The influence of self-construal has been considered a factor of these cultural differences, but no direct examination has been conducted to clarify how cultural factors are related to self-construal. To examine this relationship and exclude cultural influences other than relational self-construal, this study involved three experiments regarding self-construal and emotion recognition in Japanese subjects. The results showed that the participants perceive sadness more strongly through the eye region when they have a high degree of interdependence, and they perceive happiness more strongly through the mouth region when they have a high degree of independence. The results partially confirm the results of previous research and highlight that self-construal plays a role in interpreting facial cues; these findings suggest that more detailed studies and research focusing on other cultures should be conducted to clarify (1) cultural influence on self-construal and (2) cultural influence on emotion recognition.

Infant Eye Gaze While Viewing Dynamic Faces.

Research using eye tracking methods has revealed that when viewing faces, between 6 to 10 months of age, infants begin to shift visual attention from the eye region to the mouth region. Moreover, this shift varies with stimulus characteristics and infants’ experience with faces and languages. The current study examined the eye movements of a racially diverse sample of 98 infants between 7.5 and 10.5 months of age as they viewed movies of White and Asian American women reciting a nursery rhyme (the auditory component of the movies was replaced with music to eliminate the influence of the speech on infants’ looking behavior). Using an analytic approach inspired by the multiverse analysis approach, several measures from infants’ eye gaze were examined to identify patterns that were robust across different analyses. Although in general infants preferred the lower regions of the faces, i.e., the region containing the mouth, this preference depended on the stimulus characteristics and was stronger for infants whose typical experience included faces of more races and for infants who were exposed to multiple languages. These results show how we can leverage the richness of eye tracking data with infants to add to our understanding of the factors that influence infants’ visual exploration of faces.

LARNet: Real-Time Detection of Facial Micro Expression Using Lossless Attention Residual Network.

Facial micro expressions are brief, spontaneous, and crucial emotions deep inside the mind, reflecting the actual thoughts for that moment. Humans can cover their emotions on a large scale, but their actual intentions and emotions can be extracted at a micro-level. Micro expressions are organic when compared with macro expressions, posing a challenge to both humans, as well as machines, to identify. In recent years, detection of facial expressions are widely used in commercial complexes, hotels, restaurants, psychology, security, offices, and education institutes. The aim and motivation of this paper are to provide an end-to-end architecture that accurately detects the actual expressions at the micro-scale features. However, the main research is to provide an analysis of the specific parts that are crucial for detecting the micro expressions from a face. Many states of the art approaches have been trained on the micro facial expressions and compared with our proposed Lossless Attention Residual Network (LARNet) approach. However, the main research on this is to provide analysis on the specific parts that are crucial for detecting the micro expressions from a face. Many CNN-based approaches extracts the features at local level which digs much deeper into the face pixels. However, the spatial and temporal information extracted from the face is encoded in LARNet for a feature fusion extraction on specific crucial locations, such as nose, cheeks, mouth, and eyes regions. LARNet outperforms the state-of-the-art methods with a slight margin by accurately detecting facial micro expressions in real-time. Lastly, the proposed LARNet becomes accurate and better by training with more annotated data.

Pathological and molecular investigations of systemic form of camelpox in naturally infected adult male dromedary camels in India

Camelpox is a wide-spread infectious viral disease of camelids. An outbreak of camelpox was reported in 15 adult male dromedary camels aged between 10 to 16 years of an organized herd in winter season. The infected camels showed clinical signs of fever, anorexia, lachrymation, pendulous lips, excessive salivation and pock lesions on the skin of head, neck, mouth, lips, extremities, thigh, abdomen, scrotum and inguinal region. Mortalities were recorded in three infected camels after 10–12 days of infection and showed systemic pox lesions characterized by vesicles, papules, ulcerations and raised pock lesions in the mucous membranes of the mouth, tongue, tracheal mucosa, lung, abomasum and liver. Histopathology study revealed characteristic pox lesions with intracytoplasmic eosinophilic inclusion bodies in tongue. Lung showed lesion of interstitial pneumonia (n = 2) and bronchointerstitial pneumonia (n = 1). Liver showed infiltration of mononuclear cells around central veins and degenerative changes of hepatocytes. The abomasum and intestine showed ulcerations, marked capillary congestion and areas of lymphocyte infiltration in mucosa and submucosa. The presence of camelpox virus (CMLV) was confirmed in viral DNA isolated from formalin fixed paraffin embedded (FFPE) tissues of tongue, lung, abomasum, liver, heart and intestine of infected camels by C18L gene PCR. The sequencing of viral DNAs showed phylogenetic relatedness with other CMLV isolates from India and other countries. Thus, our study confirmed the rare severe form of systemic camelpox outbreak in adult male dromedary camels hence future attention should be given for studies on virulence, strain identification and molecular epidemiology of CMLV for planning of effective preventive and control strategies.