Search Results - machine+perception

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Methods and Systems for Low-Cost Medical Image Annotation Using Non-experts (Case No. 2025-108)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed an AI-based interface designed to enable individuals without specialized training to identify arthritis in medical imaging. Background: The use of artificial intelligence (AI) for medical imaging analysis holds great promise for the future of healthcare....
Published: 7/23/2025   |   Inventor(s): Xiang Chen, Youngseung Jeon, Christopher Hwang
Keywords(s): 3D tissue imaging, AI-guided diagnostics, AI-guided medical imaging, AI-guided medical intervention, arthritis, Artifical Intelligence (Machine Learning, Data Mining), Artificial Intelligence, artificial intelligence algorithms, artificial intelligence augmentation, artificial intelligence/machine learning models, Artificial Neural Network, bioimaging, Computer-Aided Diagnosis, computer-aided radiology, Diagnostic Markers & Platforms, Diagnostic Test, diagnostics, generative artificial intelligence, Image Analysis, Image Resolution, Imaging, infrared thermal imaging, Machine Learning, machine learning modeling, machine perception, Magnetic Resonance Imaging Medical Physics, Magnetic Resonance Imaging Pathology, Medical artificial intelligence (AI), Medical diagnostics, Medical Imaging, Microscopy And Imaging, non-invasive imaging, osteoarthritis, radial MRI, radiologic imaging, Radiology, Radiology / Radiomitigation, radiosurgery
Category(s): Software & Algorithms, Software & Algorithms > AI Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Digital Health, Software & Algorithms > Image Processing, Life Science Research Tools, Life Science Research Tools > Lab Equipment, Life Science Research Tools > Microscopy And Imaging, Medical Devices, Medical Devices > Medical Imaging, Medical Devices > Monitoring And Recording Systems, Therapeutics, Therapeutics > Musculoskeletal Disease, Therapeutics > Radiology
2022-284 Non-Contact Force Sensing
Summary: Researchers in the Department of Electrical and Computer Engineering at UCLA have developed a non-contact force sensor that relies on laser speckle imaging to precisely sense changing forces on the surface of a variety of materials. Background: Force sensing capabilities enable the ubiquity of a wide range of modern technologies, from touch...
Published: 2/14/2025   |   Inventor(s): Yang Zhang, Achuta Kadambi, Siyou Pei, Pradyumna Venkatesh Chari, Xue Wang, Xiaoying Yang
Keywords(s): Atomic Force Microscopy, Electric Vehicle, Electrical, Force sensor, force-sensing, HCI (Human Computer Interaction), interaction modality, interactive sensing application, interactive system, laser speckle imaging, machine perception, non-contact, Piezoelectric Sensor, pressure sensitive, Sensor, Sensors, Sensory System, Ubiquitous force signals
Category(s): Electrical, Electrical > Signal Processing, Electrical > Sensors, Electrical > Displays, Software & Algorithms, Software & Algorithms > Image Processing