ExoNet Database: Wearable Camera Images of Human Locomotion Environments

Brokoslaw Laschowski, William McNally, Alexander Wong & John McPhee
Abstract: Advances in computer vision and artificial intelligence are allowing researchers to develop environment recognition systems for powered lower-limb exoskeletons and prostheses. However, small-scale and private training datasets have impeded the widespread development and dissemination of image classification algorithms for classifying human walking environments. To address these limitations, we developed “ExoNet” - the first open-source, large-scale hierarchical database of high-resolution wearable camera images of human locomotion environments. Unparalleled in scale and diversity, ExoNet contains over...
This data repository is not currently reporting usage information. For information on how your repository can submit usage information, please see our documentation.