Learn to See: A Microwave-based Object Recognition System Using Learning Techniques
Viktor Erdélyi, Hamada Rizk, Hirozumi Yamaguchi, Teruo Higashino
Abstract
The capability to recognize nearby objects automatically has numerous applications including asset tracking, lifestyle analysis, and navigation assistance for blind people. In recent years, several approaches were proposed, but they are either limited to electric objects or objects instrumented with tags, which cannot scale. There are also acoustic or vision-based techniques for recognizing uninstrumented objects, but they may have privacy issues.
Topics & Concepts
Computer scienceCognitive neuroscience of visual object recognitionObject (grammar)Artificial intelligenceComputer visionTracking (education)Scale (ratio)PedagogyQuantum mechanicsPsychologyPhysicsIndoor and Outdoor Localization TechnologiesIoT-based Smart Home SystemsRFID technology advancements