Diwas Lamsal

Locomotion recognition models collapse from 93% to 68% F1 precisely when assistive exoskeletons need them most: during movement transitions in clinical populations.

Multimodal RGB-pose fusion maximizes in-domain fall detection accuracy, but skeletal representations alone are what survive out-of-distribution shifts to unseen environments.