logitech c922 (Logitech Inc)
86
Structured Review
Logitech Inc
logitech c922
Logitech C922, supplied by Logitech Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/logitech+c922/c920+logitech+webcam/pm42122525-87-2-4
Average 86 stars, based on 1 article reviews
Logitech C922, supplied by Logitech Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/logitech+c922/c920+logitech+webcam/pm42122525-87-2-4
Average 86 stars, based on 1 article reviews
logitech c922 - by Bioz Stars,
2026-09
86/100 stars
Images
Related Articles
other:Article Title: Brain-Controlled Hand Exoskeleton Based on Augmented Reality-Fused Stimulus Paradigm Article Snippet: Advancements in brain-machine interfaces (BMIs) have led to the development of novel rehabilitation training methods for people with impaired hand function.. However, contemporary hand exoskeleton systems predominantly adopt passive control methods, leading to low system performance.. In this work, an active brain-controlled hand exoskeleton system is proposed that uses a novel augmented reality-fused stimulus (AR-FS) paradigm as a human–machine interface, which enables users to actively control their fingers to move. Article Title: Vision-Based Localization in Urban Areas for Mobile Robots. Article Snippet: We utilized the Article Title: Vision-Based Localization in Urban Areas for Mobile Robots. Article Snippet: The Article Title: Hardware-Agnostic Imitation Learning Method for Autonomous Ultrasound Scanning Addressing Physical Deployment Discrepancies. Article Snippet: Simultaneously, a Article Title: Vision-Based Localization in Urban Areas for Mobile Robots Article Snippet: We utilized the Article Title: Long future frame prediction using optical flow‐informed deep neural networks for enhancement of robotic teleoperation in high latency environments Article Snippet: Article Title: Long future frame prediction using optical flow‐informed deep neural networks for enhancement of robotic teleoperation in high latency environments Article Snippet: For visual feedback capturing from the game screen, we have used a |