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33 articles for “Human-Computer Interaction”
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Research ArticleOpen accessIn the abstractIntelligent Identification and Sorting of Chinese Herbs Recommend a String-Level Predictive Electromechanical SystemWenyi Zhang, Gang Wang, Xiaofei Xu et al.Based on the analysis of a large number of Chinese medicinal materials, a mobile robot visual function research and development experimental domestic chips electromechanical arm-controller, which was constructed using a typical kernel algorithm recommended by Chinese medicinal materials visual recognition, which the cascade Electromechanical Control System was based on iterative learning electromechanical control for multi-joint manipulators. The original and improved … …American Journal of Biochemistry and Biotechnology, Vol. 20, Issue 2 · 11 Jul 2024 · 4,273 accessesView PDFCite
Review ArticleOpen accessIn the abstractIOT-Based Smart Helmet for COVID-19 Detection and ManagementFoziah GazzaweCovid-19 is one of the pandemics that has shocked the world. Having originated from China, the virus rapidly spread across many countries of the world. There was a need to come up with mechanisms to manage the spread of the virus. The traditional methods of temperature capture through thermal handheld gun thermometers were tedious and exposed the officers to the … …Journal of Computer Science, Vol. 19, Issue 11 · 14 Nov 2023 · 6,046 accessesView PDFCite
Review ArticleOpen accessIn the abstractFace Recognition as a Biometric ApplicationRelly Victoria Virgil PetrescuA facial recognition system is a technology capable of identifying or verifying a person from a digital image or a video frame from a video source. There are multiple methods in which facial recognition systems work, but in general, they work by comparing selected facial features from the given image with faces within a database. It is also described as … …Journal of Mechatronics and Robotics, Vol. 3, Issue 1 · 14 May 2019 · 18,781 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdvanced Facial Emotion Recognition Using DCNN-ELM: A Comprehensive Approach to Preprocessing, Feature Extraction and Performance EvaluationBoopalan K., Satyajee Srivastava, K. Kavitha et al.As a subfield of affective computing, Facial Emotion Recognition (FER) teaches computers to read people's facial expressions to determine their emotional state. Because facial expressions convey 55% of an individual's emotional and mental state in the whole range of face-to-face communication, Facial Emotion Recognition is crucial for connecting humans and computers. Improvements in the way computer systems (robotic systems) interact … …Journal of Computer Science, Vol. 21, Issue 1 · 30 Nov 2024 · 5,899 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeep Learning Models for Speech Emotion RecognitionV.M. Praseetha, Sangil VadivelEmotions play a vital role in the efficient and natural human computer interaction. Recognizing human emotions from their speech is truly a challenging task when accuracy, robustness and latency are considered. With the recent advancements in deep learning now it is possible to get better accuracy, robustness and low latency for solving complex functions. In our experiment we have developed … …Journal of Computer Science, Vol. 14, Issue 11 · 26 Nov 2018 · 8,768 accessesView PDFCite
Research ArticleOpen accessIn the abstractMechanically Stimulated Osteoblast Cells GrowthRaffaella Aversa, Antonio Apicella, Francesco Tamburrino, Florian Ion Tiberiu PetrescuThe bones need to be built and then permanently restored to keep them functioning properly. Considering the multiple bone functions, their vitality is essential both to maintain the body and move it and to maintain its health and vigor. When most bones begin to age and have no vital function, the man also begins to age, lose water, minerals, electrolytes, … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 2 · 19 Jun 2018 · 7,882 accessesView PDFCite
Research ArticleOpen accessIn the abstractSymbolic Aggregate approXimation-Local Binary Pattern Feature Descriptor Combination for Automatic Facial Expression RecognitionSumithra M.D., M. Abdul RahimanAutomatic identification of facial expression is a significant research area which is anticipated for real time processing in Human-Computer Interaction domain. Along with an efficient classifier for assigning the class label to each of the input face image, it is very necessary to have a strong feature vector for training the classifier. This paper proposes an effectual combination of Local … …Journal of Computer Science, Vol. 15, Issue 1 · 8 Jan 2019 · 7,513 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance Analysis of LDA, AdaBoost and Ensemble Bag Classifiers for Automatically Recognizing Nine Common Facial ExpressionsM.D. Sumithra, M. Abdul RahimanFacial expression recognition holds a prominent role in today’s digital world with more Human –Computer Interaction happening in day to day life. Successful identification of facial expressions needs extraction of descriptive attributes from the active facial patches and accurate classification. This paper is presented with the comparison of three multi class classifiers namely Linear Discriminant Analysis, AdaBoost and Ensemble bag. … …Journal of Computer Science, Vol. 14, Issue 9 · 27 Sep 2018 · 7,787 accessesView PDFCite
Research ArticleOpen accessIn the abstractExperimental Study: The Effects of Mobile Phone Icons Characteristics on Users’ Age GroupsSyed Ghayas, Salim Amor Al-Hajri, Suziah SulaimanMobile phone applications interfaces offer great support to various age group users. There is a lot of Mobile Human Computer Interaction (here after HCI) research work going on, which is found in User Experience – UX issues. Until now little research work is done on Mobile phone icons and its effect on learn ability for various age group users. The … …Journal of Computer Science, Vol. 14, Issue 8 · 24 Aug 2018 · 8,951 accessesView PDFCite
Research ArticleOpen accessIn the abstractIdentification of Human Emotions via Univariate and Multivarite Multiscale EntropyKawser AhammedThis work analyzes the emotions of human in terms of complexity. This analysis is achieved by applying both univariate and multivariate multiscale entropy methods on a multimodal dataset. Most of the contemporary human-computer interaction systems are unable to identify human affective states. So, the benefit of analyzing human emotions is to fill this gap by detecting human affective states. The … …American Journal of Engineering and Applied Sciences, Vol. 8, Issue 3 · 23 Jul 2015 · 8,125 accessesView PDFCite