A Survey on Human Emotion Recognition Approaches, Databases and Applications

This paper presents the various emotion classification and recognition systems which implement methods aiming at improving Human Machine Interaction. The modalities and approaches used for affect detection vary and contribute to accuracy and efficacy in detecting emotions of human beings. This paper discovers them in a comparison and descriptive manner. Various applications that use the methodologies in different contexts to address the challenges in real time are discussed. This survey also describes the databases that can be used as standard data sets in the process of emotion identification. Thus an integrated discussion of methods, databases used and applications pertaining to the emerging field of Affective Computing (AC) is done and surveyed.This paper presents the various emotion classification and recognition systems which implement methods aiming at improving Human Machine Interaction. The modalities and approaches used for affect detection vary and contribute to accuracy and efficacy in detecting emotions of human beings. This paper discovers them in a comparison and descriptive manner. Various applications that use the methodologies in different contexts to address the challenges in real time are discussed. This survey also describes the databases that can be used as standard data sets in the process of emotion identification. Thus an integrated discussion of methods, databases used and applications pertaining to the emerging field of Affective Computing (AC) is done and surveyed

Bio synthesis, Characterization of ZnO Nanoparticles from Scoparia dulcis L. plant extract and its in-vitro Antioxidant, Acetylcholinesterase Activity

The current investigation is focused on the use of green synthesis methods for zinc oxide nanoparticles (ZnO NPs) from Scoparia dulcis L. extract (SDE). SDE-mediated ZnO NPs (SDE-ZnO-NPs) were made using a simple and eco-friendly method that required little reaction time and calcinations temperature. UV-Vis, FTIR, X-ray powder diffraction, SEM, TEM & EDAX were used into characterizes the skeletal and synthetic properties concerning biosynthesized ZnO nonmaterial. The UV–Visible spectroscopy absorption peak for SDE-ZnO-NPs was found to be at 380 nm, confirming the production of ZnO NPs. The FTIR spectrum also revealed bioactive functional groups as well as metal-oxygen groups. Synthesized ZnO NPs had a rod shape in 200 nm, according to TEM examination. The Zn and O in the produced ZnO NPs were approved by the EDAX analysis. The XRD results revealed that it had a crystal structure that was similar to SDE-ZnO-NPs. The dose-related Acetylcholinesterase inhibitory action of SDE-ZnO NPs was determined utilizing the Ellman’s test. AChE activity of the synthesized nanoparticles showed potential inhibitory activity with IC50 values of 75.34 µg/mL. The antioxidant activity was investigated the biosynthesized ZnO-NPs using DPPH, ABTS assay

Antidandruff activity of Cassia auriculata and Cassia alata through fatty acids mediated inhibition of Malassezia furfur

Susceptibility of Malassezia furfur to certain medium chain fatty acids shed light onto novel strategies to control dandruff. This study explored antidandruff activity of the fatty acids and other bioactive compounds from flowers of Cassia auriculata and Cassia alata. The idea was supplementing the growth medium with fatty acids which are inhibitory to Malassezia so that plant-based antidandruff formulations could be developed based on the results. Chloroform and ethanolic flower extracts were tested there in vitro efficacy against M. furfur and the potential antidandruff compounds were identified by gas chromatography-mass spectrophotometry (GC-MS). Minimum inhibitory concentrations were determined for both the extracts and IC50 values of 50 and 88 µM for chloroform extract of C. auriculata and C. alata were recorded. For ethanol extract, IC50 values of 75 and 70 µM were exhibited by C. auriculata and C. alata, respectively. Inhibition of M. furfur through fatty acids from Cassia is the first report, and it is possible to include specific fatty acids in the growth media to inhibit the growth of Malassezia which could be later served as lead molecules in antidandruff formulations. Further, the presence of citronellol, pinitol, anthracenedione and chrysine in Cassia flower extracts and their antidandruff activity reported in this study needed further research on those compounds to formulate effective treatment of Malassezia associated diseases

A Survey on Human Emotion Recognition Approaches, Databases and Applications

This paper presents the various emotion classification and recognition systems which implement methods aiming at improving Human Machine Interaction. The modalities and approaches used for affect detection vary and contribute to accuracy and efficacy in detecting emotions of human beings. This paper discovers them in a comparison and descriptive manner. Various applications that use the methodologies in different contexts to address the challenges in real time are discussed. This survey also describes the databases that can be used as standard data sets in the process of emotion identification. Thus an integrated discussion of methods, databases used and applications pertaining to the emerging field of Affective Computing (AC) is done and surveyed. This paper presents the various emotion classification and recognition systems which implement methods aiming at improving Human Machine Interaction. The modalities and approaches used for affect detection vary and contribute to accuracy and efficacy in detecting emotions of human beings. This paper discovers them in a comparison and descriptive manner. Various applications that use the methodologies in different contexts to address the challenges in real time are discussed. This survey also describes the databases that can be used as standard data sets in the process of emotion identification. Thus an integrated discussion of methods, databases used and applications pertaining to the emerging field of Affective Computing (AC) is done and surveyed

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Not AvailableNutritional database on omega-3 polyunsaturated fatty acids profile of myctophid fish species from Arabian Sea is relatively scanty. In this study, the omega-3 fatty acids [docosahexaenoic acid (DHA) and eicosapentaenoic acid (EPA)] profile of four myctophid species of fishes (Benthosema pterotum, Benthosema fibulatum, Diaphus jenseni, Myctophum spinosum) caught from Arabian Sea was compared with commerson’s anchovy (Stolephorus commersonii) to evaluate their nutritional quality for human health benefits. The protein content of myctophid fishes ranged between 19.36% for Myctophum spinosum to 13.74% for Benthosema pterotum. Total fat (3.64%) and moisture content (81.03%) were high in Benthosema pterotum (3.64%). Stolephorus commersonii was found to have higher ash content (3.23%). Myctophid omega-3 PUFA profile is comparable to Commenrson’s anchovy fatty acid composition. Presence of higher DHA content in M. spinosum (20.2%), B. pterotum (17.48%) was comparable to edible S. commersonii (16.9%) emphasizes that these underutilized non-edible myctophids may be considered as a potential nutrient resource of omega3 PUFA especially DHA for the formulation of nutraceuticals, cosmetics and animal feeds.Not Availabl

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Not AvailableA fish species belongs to Bembrops family (Perciforms: Perchophidae) with unique fluorescence is reported for the first time from Arabian Sea, India. DNA barcoding performed using NCBI database has confirmed that it is a new species in Bembrops genus. This species may be considered as new introduction to the Arabian Sea. This record explains the exclusivity of the species.Not Availabl