Facial Emotion Recognition Using Context Based Multimodal Approach

Emotions play a crucial role in person to person interaction. In recent years, there has been a growing interest in improving all aspects of interaction between humans and computers. The ability to understand human emotions is desirable for the computer in several applications especially by observing facial expressions. This paper explores a ways of humancomputer interaction that enable the computer to be more aware of the user’s emotional expressions we present a approach for the emotion recognition from a facial expression, hand and body posture. Our model uses multimodal emotion recognition system in which we use two different models for facial expression recognition and for hand and body posture recognition and then combining the result of both classifiers using a third classifier which give the resulting emotion . Multimodal system gives more accurate result than a signal or bimodal system

Enhanced Fuzzy Feature Match Algorithm for Mehndi Fingerprints

The performance of biometric system is degraded by the distortions occurred in finger print image acquisition. This paper focuses on nonlinear distortions occurred due to �Mehndi / Heena drawn on the palm/fingers. The present invention is to detect and rectify such distortions using feedback paradigm. If image is of good quality, there is no need to renovate features. So, quality of whole image is checked by generating exponential similarity distribution. Quality of local region is checked by the ridge continuity map and ridge clarity map. Then, we check whether feedback is needed or not. The desired features such as ridge structure, minutiae point, orientation, etc. are renovated using feedback paradigm. Feedback is taken from top K matched template fingerprints registered in the database. Fuzzy logic handles uncertainties and imperfections in images. For matching, we have proposed the Enhanced Fuzzy Feature Match (EFFM) for estimating triangular feature set of distance between minutiae, orientation angle of minutiae, angle between the direction of minutiae points, angle between the interior bisector of triangle and the direction of minutiae, and a minutiae type. The proposed algorithm incorporates an additional parameter minutiae type that assists to improve accuracy of matching algorithm. The experimentation on 300 Mehndi fingerprints acquired using Secugen fingerprint scanner is conducted. The results positively support EEFM for its efficiency and reliability to handle distorted fingerprints matching

An Effective Technique for Removal of Facial Dupilcation by SBFA

Search based face annotation (SBFA) is an effective technique to annotate the weakly labeled facial images that are freely available on World Wide Web. The main objective of search based face annotation is to assign correct name labels to given query facial image. One difficult drawback for search based face annotation theme is how to effectively perform annotation by exploiting the list of most similar facial pictures and their weak labels that square measure typically droning and incomplete. To tackle this drawback, we tend to propose a good unattended label refinement (URL) approach for purification the labels of web facial pictures exploitation machine learning technique. We tend to formulate the educational drawback as a gibbose improvement and develop effective improvement algorithms to resolve the large scale learning task expeditiously. To additional speed up the projected theme, we also proposed clustering based approximation algorithmic program which may improve quantify ability significantly. We have conducted an in depth set of empirical studies on a large scale net facial image test bed, within which encouraging results showed that the projected URL algorithms will considerably boost the performance of the promising SBFA theme. In future work we will use HAAR algorithm. HAAR is feature based method for face detection. HAAR features, integral images, recognized detection of features improve face detection in terms of speed and accuracy. DOI: 10.17762/ijritcc2321-8169.150517

Long-term Collaborative Partnerships for Reclamation of Abandoned Mined Lands (AML) through Beneficial Use of Coal Combustion Residues and Remining at Active Coal Mined Lands

The Coal Combustion Products program at Ohio State has been working for more than 20 years now to advance the beneficial use of coal combustion residues in applications that are environmentally protective, commercially competitive, and technically sound. The program has been supported for more than two decades by a coalition of state and federal agencies, utilities, trade organization, and other stakeholders from across the nation. In the last decade, the program has focused on the use of coal combustion residues to reclaim and bring to productive use abandoned mined lands which would not reclaimed if it were not for the availability of coal combustion by-products. This presentation will bring forth speakers from Ohio State, ODNR – Division of Mineral Resources Management, AEP, and Ohio Mineland Partnership to focus on how collaborative field research can advance the science as well as make a significant impact on the environmental benefits of reclamation using coal combustion residues along with tree reclamation to sequester CO2 – unlike current grassland methods of reclamation. Panelists will include: Dr. Tarunjit Singh Butalia, research associate professor, Ohio State; Lanny Erdos, chief, Division of Mineral Resources Management, ODNR; Pedro Amaya, head of civil engineering, American Electric Power; and Bob First, president, Ohio Mineland Partnership.AUTHOR AFFILIATION: Tarunjit Butalia, research associate professor, Ohio State College of Engineering, [email protected] (Corresponding Author)In the last decade, the Coal Combustion Products Program at Ohio State has focused on advancing the use of coal combustion residues to reclaim and bring to productive use abandoned mined lands which would not be reclaimed if not for the availability of coal combustion by-products. Learn how collaborative research by Ohio State, the ODNR Division on Mineral Resources Management, AEP, and the Ohio Mineland Partnership can advance the science and make a significant impact on the environmental benefits of reclamation using coal combustion residues along with tree reclamation to sequester CO2 – unlike current grassland methods of reclamation

Why the chosen ones may not always be the best leaders: Criteria for captain selection as predictors of leadership quality and acceptance

There seems to be some initial evidence that team captains are selected based on non-leadership factors such as team tenure, technical abilities, being the daughter of the club president, or playing position. This is concerning since players expect their ideal team captain to have superior motivational and social skills. Adding to this literature on captain selection, the present study investigates relationships between the reasons for which team captains are selected and their (a) perceived leadership quality; and (b) perceived acceptance. To accomplish this, we recruited 450 coaches and 198 players from Flemish football and volleyball teams. Participants evaluated 41 reasons on the extent to which they played a role 18 in the selection of their team captain. Additionally, participants rated their team captain’s leadership quality and level of acceptance. The results consistently indicated that captains who were selected for having good motivational and social competencies were given higher ratings on perceived leadership quality and acceptance by participants. In conclusion, athletes who are motivated, good at motivating others and have superior social skills tend to be better suited for captaincy than those selected based on non-leadership factors

Food and welfare in India, c. 1900–1950

In 2001, the People's Union for Civil Liberties submitted a writ petition to the Supreme Court of India on the “right to food.” The petitioner was a voluntary human rights organization; the initial respondents were the Government of India, the Food Corporation of India, and six state governments. The petition opens with three pointed questions posed to the court: * A. Does the right to life mean that people who are starving and who are too poor to buy food grains ought to be given food grains free of cost by the State from the surplus stock lying with the State, particularly when it is reported that a large part of it is lying unused and rotting? * B. Does not the right to life under Article 21 of the Constitution of India include the right to food? * C. Does not the right to food, which has been upheld by the Honourable Court, imply that the state has a duty to provide food especially in situations of drought, to people who are drought affected and are not in a position to purchase food

Distribution, management and outcomes of AMI according to principal diagnosis priority during inpatient admission

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