Comparing effects of wearable robot-assisted gait training on functional changes and neuroplasticity: A preliminary study.

Robot-assisted gait training (RAGT) is a promising technique for improving the gait ability of elderly adults and patients with gait disorders by enabling high-intensive and task-specific training. Gait functions involve multiple brain regions and networks. Therefore, RAGT is expected to affect not just gait performance but also neuroplasticity and cognitive ability.

Energy-Based Domain Adaptation Without Intermediate Domain Dataset for Foggy Scene Segmentation.

Robust segmentation performance under dense fog is crucial for autonomous driving, but collecting labeled real foggy scene datasets is burdensome in the real world. To this end, existing methods have adapted models trained on labeled clear weather images to the unlabeled real foggy domain. However, these approaches require intermediate domain datasets (e.