Assessing Deep Learning Techniques for Remote Gauging and Water Quality Monitoring Using Webcam Images by Ruichen Xu, Binbin Wang

“…Our objective is to evaluate the predictability of the selected CNN and deep CNN models in inferring water surface elevation and water quality parameters from webcam images. …”
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A 2-year follow-up analysis of individuals with internet use disorders treated with the webcam-based telemedicine OMPRIS intervention by Jan Dieris-Hirche, Sebastian Nikofor, Magdalena Pape, Laura Bottel, Martin Diers, Bert Theodor te Wildt, Klaus Wölfling, Peter Henningsen, Anja Neumann, Rainer Beckers, Stephan Herpertz, Nina Timmesfeld

“…Age and gender had no significant influence in the model. Similar results were found for all secondary outcomes. …”
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Revolutionizing Gaze-Based Human–Computer Interaction Using Iris Tracking: A Webcam-Based Low-Cost Approach With Calibration, Regression and Real-Time Re-Calibration by Govind Ram Chhimpa, Ajay Kumar, Sunita Garhwal, Dhiraj, Faheem Khan, Yeon-Kug Moon

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Modeling and Classification of the Behavioral Patterns of Students Participating in Online Examination by B. J. Ferdosi, M. Rahman, A. M. Sakib, T. Helaly

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Hybrid Neural Network Models to Estimate Vital Signs from Facial Videos by Yufeng Zheng

“…Facial videos are easily captured through various imaging devices like phone cameras, webcams, or surveillance systems. <b>Methods</b>: This study introduces a hybrid deep learning model aimed at estimating heart rate (HR), blood oxygen saturation level (SpO2), and blood pressure (BP) from facial videos. …”
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Electronic Shooting Simulator Family "STrIzh": Research of Mathematical Models on Target Point Determiners of Entry and Basic Levels by S. F. Egorov

“…Structural diagrams of aiming point’s recorders of initial and basic levels are presented and studies of their mathematical models with estimation of errors are carried out. …”
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Mathematical model of errors in measuring the interframe displacement of a measuring mark on an observation object using video from a WEB camera by O.Ye. Gorshenin, M.O. Gorshenin

“…This paper develops and analyses a mathematical error model for estimating the potential accuracy of measuring the inter‑frame displacement of a reference marker captured by a WEB camera. …”
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Quantifying sitting posture: A pilot feasibility study of computer vision and wearable sensors (Posture Lab) using a manikin model by Supachai Vorapojpisut, Suphawit Sansuk, Phoomtai Yindee, Darawadee Panich, Vinitha Puengtanom, Sairag Saadprai

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Electronic Shooting Simulator Family "STrIzh": Implementation Levels and Free Software Structure by S. F. Egorov

“…The initial level allows independent assemble the simulator from publicly available elements (laptop, webcam, weapon layouts, IR LEDs), which can contribute to widespread use both in schools and at home, but is low in accuracy and manufacturabili (requires daily calibration). …”
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Grouping Behaviour and Anti-Predator Responses in the Helmeted Guineafowl <i>Numida meleagris</i> by Johann H. van Niekerk, Giovanni Forcina, Rodrigo Megía-Palma

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Designing a Real-Time-Based Optical Character Recognition to Detect ID Cards by Rodzan Iskandar, Mezan El Khaeri Kesuma

“…ID cards were detected using an algorithm by TensorFlow object detection with SSD MobileNet V2 FPNLite 320x320 as the pre-trained model of Tensorflow. The researchers collected ID card images using a webcam with various light conditions and orientations and label them using labeling. …”
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Developing an Algorithm for Robotic Precision Application of Crop Protection Products by M. A. Mirzaev

“…The original images are taken by Xiaovv HD Web USB 150 degree Full HD 1080P webcam and Logitech C270 HD 720p webcam. The trained neural network for the robotic device was installed on the Nvidia Jetson AGX Xavier platform. …”
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Sistem Pendeteksi Ketersediaan Tempat Duduk pada Perpustakaan berbasis Computer Vision by Natasha Khairunissa, Rifki Suwandi

“…Using Roboflow 3.0 object detection model trained on Roboflow GPU and implemented on Raspberry Pi 4B with webcam, this system detects and displays empty seats through website with room mapping. …”
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NAILS: Normalized Artificial Intelligence Labeling Sensor for Self-Care Health by Livio Tenze, Enrique Canessa

“…The NAILS leverages a pre-trained Convolutional Neural Network model to segment and label fingernail regions from fingernail images, normalizing RGB values to monitor tiny color changes via a GUI and the use of an HD webcam in real time. …”
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Comparative Analysis of Machine Learning Based Approaches for Face Detection and Recognition by Ratnesh Kumar Shukla, Arvind Kumar Tiwari

“…This paper presents the different methods and models used by numerous researchers in literature to solve the issue of faces. …”
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Implementasi Machine Learning untuk Pengenalan Penggunaan Makeup by Fetricia Wulandari, Rian Ferdian

“…The system is powered by a Raspberry Pi 4 Model B, with a webcam for capturing facial images. …”
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Predictive Emojis for User Cognitive Response to Dynamic Behaviour of Webpages Using Pupil and Click Reinforcement by Fatima Isiaka

“…A computational test was carried out to determine the reliability of the proposed model (predictive dynamic control) with a standard artificial neural network and the results show compatibility as compared to state-of-the-art models. …”
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Assessing last month's stress levels with an automated facial behavior scan by Marnix Naber, Sterre I.M. Houben, Anne-Marie Brouwer

“…To assess stress objectively and conveniently, we developed an automated model that detects biomarkers in webcam-recorded facial behavior indicative of heightened stress levels, using computer vision, artificial intelligence, and machine learning techniques. …”
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Enhanced Emotion-Aware Conversational Agent: Analyzing User Behavioral Status for Tailored Reponses in Chatbot Interactions by S. Abinaya, K. S. Ashwin, A. Sherly Alphonse

“…The second component captures users&#x2019; facial expressions through webcam footage. It begins by detecting faces using a pre-trained classifier like Haarcascade. …”
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Adversarial Multitask Learning for Domain Adaptation Through Domain Adapter by Hidayaturrahman, Agung Trisetyarso, Iman Herwidiana Kartowisastro, Widodo Budiharto

“…For instance, the accuracy of our AML model in adapting from the webcam domain to the dslr domain reached 88.54%, surpassing 86.46% for models without adversarial training and 78.91% for those lacking categorical training. …”
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