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Researchers at the Salk Institute for Biological Studies have developed a novel approach, called GlowTrack, to effortlessly collect huge amounts of labeled body motion data. This technology has many applications, ranging from interacting with virtual and augmented reality environments to health monitoring, athletic training, and studying animal behavior. It involves a combination of hardware and software components, such as cameras, depth sensors, and wearable devices, as well as computer vision techniques such as image processing and deep learning. However, collecting and annotating the necessary training data is costly and time-consuming, making it difficult to develop robust body tracking systems.
