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51 articles for “Human body detection”
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TryOniverse: Digital Dressing Room
Abstract: The rapid advancement of technology has led to a significant surge in online shopping, commonly referred to as e-shopping, on a global scale. This evolution in the shopping landscape allows consumers to make purchases conveniently from anywhere and at any time. While the advantages of e-shopping are evident, a notable challenge arises in the form of limited opportunities for online shoppers to physically try on clothing items, presenting a major …
Published in E-Commerce for Future & Trends · Vol. 10, Issue 3, 2023 · pp. 34–41 Read article
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Smart Home Automation System
Abstract: Computerization is becoming famous step by step because of various benefits. Till now the current advancement shows that the mechanization framework is overseen by messages, or a few different applications. This study gives a thought of involving IoT for observing and controlling home machines by means of the World Wide Web through remote medium or Wi-Fi. The thought given in this study targets controlling home machines through detecting the movement …
Published in Journal of Computer Technology & Applications · Vol. 13, Issue 1, 2022 · pp. 9–23 Read article
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Human Body Movement Identification
Abstract: AbstractHuman Body Movement Identification is the recognition technique of moving human behavior, it detects and traces the moving human body movements. A 3D human body is expressed by a multi-joint model and describe the posture by a set of joint angles. It is necessary to recognize the human body movements for computer-human interaction. It is useful in many scientific and security fields. It can be used in camera surveillance, sports …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 8, Issue 1, 2021 · pp. 13–22 Read article
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Everlasting Life Achieved Through Technology in AI
Abstract: The concept of immortality Life is a philosophical idea that states life is limitless and does not stop with death, it exists infinitely. In our Sanskrit scriptures and Santana dharma teach us that there is a life of beginning and an end, which are referred to as birth and death but our souls do not perish, instead, they switch bodies. In this scenario, our memories have evaporated to protect our …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 4, Issue 1, 2026 · pp. 36–40 Read article
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The Effects of Propylparaben on Women with Respect to Breast Cancer: A Study
Abstract: Propylparaben is a natural substance found in many plants and some insects; although it is manufactured synthetically for the industrial applications in field of cosmetics, pharmaceuticals, foods and so on. It is used as a preservative, typically found in many water-based cosmetics, commercially available pharmaceuticals and foods items, such as creams, lotions, shampoos, bath products, tablets, baked food products and so on, to reduce the activity of microorganisms. Parabens have …
Published in Research and Reviews: A Journal of Toxicology · Vol. 8, Issue 2, 2018 · pp. 38–43 Read article
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GSM based Security System
Abstract: In this fast moving world looking after every aspect of life is hard. Security is one such domain where attention has to be given but people are busy catching their tight schedule. Therefore People require a smart system which really helps them to keep their house, offices, workplaces and their valuable things safe. GSM based security system is one such embedded smart system which can really help user to keep …
Published in Journal of Computer Technology & Applications · Vol. 9, Issue 3, 2018 · pp. 5–8 Read article
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A Comparative Study on Detection of Different Disease Using KNN
Abstract: Nowadays many approaches are made to detect or predict any disease in human body using different data mining techniques. This paper is an approach to study K-nearest neighbor (KNN) classification technique used in different disease prediction. Nowadays number of diseases are needed to be classified and are threat to the human life. Here KNN approach on disease are tuberculosis, heart disease, diabetes, chronic renal failure, neuromuscular disease and brain MRI …
Published in Journal of Open Source Developments · Vol. 5, Issue 3, 2018 · pp. 11–16 Read article
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Facial Emotion Recognition Using CNN and OpenCV: A Review
Abstract: Emotion Recognition Using a Facial Feature Recognition is a prominent area of study in the world of Human Computer Interaction (HCI). Humans may express a wide range of emotions and moods through facial movements and body language. In this project, in order to detect the live emotions from the human facial gesture, we will be using an algorithm that allows the computer to automatically detect the facial recognition of human …
Published in Journal of Open Source Developments · Vol. 10, Issue 1, 2023 · pp. 1–9 Read article
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Machine Learning Based Automated Detection of Sepsis: A Study
Abstract: Sepsis is a serious condition that occurs when the body's response to infection leads to tissue damage, organ failure, or death. Human body generally releases chemicals into the blood vessels to fight any kind of infection. Approximately 30 million people suffer from sepsis and 6 million people die from sepsis every year according to WHO. Around 4 million 200 thousand new-born and children are affected by sepsis all over the …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 1, 2023 · pp. 1–10 Read article
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Levels of Heavy Metals in the Stem Bark of Securidaca longipedunculata Fresen (Polygalaceae)
Abstract: Abstract Due to the toxicological risks posed by higher levels of heavy metals to human health, the World Health Organization and other regulatory bodies have emphasized that medicinal plants and other herbal preparations should not be used without qualitative and quantitative analysis of heavy metals content; therefore, the present study was aimed to determine the levels of some heavy metals in the stem bark of Securidaca longipedunculata using Micro Plasma …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 7, Issue 2, 2020 · pp. 28–33 Read article
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Nitrosamine: The Carcinogenic Impurity in Angiotensin Receptor Blockers
Abstract: Angiotensin II Receptor Blockers (ARBs), commonly known as the Sartans, are used in the treatment of hypertension for a long time. Currently, seven Sartan drugs, i.e. Valsartan, Losartan, Candesartan, Irbesartan, Telmisartan, Olmesartan, and Eprosartan, are in use. Recently, Nitroso impurity was detected in Valsartan active pharmaceutical ingredient, which led to the recall of batches of products containing it. Even in trace amounts, the impurity is said to be a probable …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 9, Issue 3, 2020 · pp. 36–43 Read article
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Brain Tumor Detection Through CNN: Techniques, Dataset Insights, and Methodology
Abstract: Computer technologies are playing huge roles in some areas of the medical domain like surgery and therapy of different diseases. Researchers are doing studies and trying to experiment to detect different diseases like cancer, virus infections, and leprosy. There are many different medical imaging datasets that are publicly available for medical research purposes of diseases like cancer, virus infections, and leprosy, etc. where we can be able to access large …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 1, 2025 · pp. 30–40 Read article
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Intelligent Brain Tumor Diagnosis with AI-Based Classification* * Harnessing Deep and Machine Learning for Tumor Identification
Abstract: Brain tumors have become a leading cause of cancer- related deaths, posing significant health risks to many patients. This urgent medical challenge calls for rapid, automated, and reliable techniques to detect brain tumors accurately. Timely and precise tumor identification is crucial for devising effective medical plans that have the potential to save lives and improve patient outcomes. By leveraging advanced image processing methods, healthcare professionals can enhance their diagnostic capabilities …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 4, Issue 1, 2026 · pp. 51–58 Read article
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Radon Flux and Radium Content Determination in Cereals Products
Abstract: AbstractRadon (222Rn) in air is ubiquitous. Radon is a form of ionizing radiation and lung cancer is the only known effect on human exposure to radon in air. The radon gas can enter into the human body through respiring, drinking and eating and caused damage to respiratory and digestion system. Cereals products available in market were experimented by “Sealed Can Technique” using LR-II solid state nuclear track detectors which are …
Published in Journal of Nuclear Engineering & Technology · Vol. 8, Issue 1, 2018 · pp. 7–10 Read article
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Account of Gross Anatomy to Microanatomy with the Orientation of Progressive Detection
Abstract: Purpose: The aim of this study is to see the history and course of histology as well as analyze the list of simple organs described in classical Unani literature with the recent advancement in the subject. Background: Concept of tissue had been described in classical Unani literature. Every era has its maximum but possible technologies to visualize and understand the things. So, Unani ancient scholars also did the best of …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 6, Issue 3, 2019 · pp. 1–11 Read article
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EMOTION RECOGNITION FROM ELECTROENCEPHALOGRAM SIGNAL AND EYE MOVEMENT BASED ON DEEP LEARNING
Abstract: Emotion recognition from electroencephalogram (EEG) signals has gained significant attention due to its potential in human- computer interaction (HCI), mental health monitoring, and personalized content delivery. This paper presents the use of Convolutional neural networks (CNNs) to classify emotions such as happiness, sadness, fear, neutral, and disgust by leveraging a fusion of EEG signals and eye movements data. Compared to conventional methods of emotion detection, such as those that rely …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 8–15 Read article
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Design of Multifunction Stethoscope with Auto Gastrointestinal Wriggle Detector
Abstract: As the acoustic stethoscopes can't compete with the magnified sound quality so the digital stethoscopes provides even better identification of conditions. The objective of this work is to design a digital stethoscope with multifunction modes, which provides sound analysis for different body signals acquired from heart, lungs and abdomen. Using this system a doctor can not only analyze the sounds but also identify the gastrointestinal wriggling occurrence in the human …
Published in Journal of Electronic Design Technology · Vol. 4, Issue 2, 2013 · pp. 7–12 Read article
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SARS-CoV-2: A Review
Abstract: The emergence of coronavirus outbreak caused by SARS-CoV-2 has claimed lakhs of human lives and continues to be a potential danger for the world. Initial cases were detected in Wuhan, China, and over the period, the virus spread to various countries. Many nations where the spread of infection was high were forced to shut offices, educational institutions, and transportation by imposing lockdown for months. SARS-CoV-2 is genetically similar to the …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 11, Issue 3, 2021 · pp. 14–25 Read article
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A Review: Digital Image Processing
Abstract: Image Processing consists of converting the nature of a photograph with a view to improve its pictorial records for human interpretation, for independent system notion. virtual picture processing is a subset of the electronic area in which the image is transformed to an array of small integers, referred to as pixels, representing a bodily amount inclusive of scene radiance, saved in a virtual reminiscence, and processed by using pc or …
Published in Current Trends in Signal Processing · Vol. 12, Issue 3, 2022 · pp. 12–16 Read article
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Sub-Pixel Classification of Multi-date Satellite Images for Accurate Change Detection in Pichavaram Mangroves, Tamilnadu, India
Abstract: The Pichavaram mangrove wetland ecosystem contains species such as Rhizophora apiculata and Avicennia marina which are interspersed with the creeks and marshland landforms. Various studies have indicated that over the years the areal extent of this mangrove ecosystem has decreased due to both human impact and natural causes (erosion). However, field visits have indicated an increase in the areal extent due to re-forestation by the officials of the forestry department. …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 2, Issue 3, 2013 · pp. 30–37 Read article