3 papers
cs.HC2026
Towards semantic reconstruction of individual words from fnirs using clip loss
Santiago Posso-Murillo, Nathan Palladino, Ben Pyykkonen +4
Semantic reconstruction maps neural activity to a word-embedding space, recovering the meaning of a perceived word instead of selecting it from a fixed vocabulary. Functional near-…
cs.CV2026
MMTA: Multi Membership Temporal Attention for Fine-Grained Stroke Rehabilitation Assessment
Halil Ismail Helvaci, Justin Huber, Jihye Bae +1
To empower the iterative assessments involved during a person's rehabilitation, automated assessment of a person's abilities during daily activities requires temporally precise seg…
cs.CV2025
HRTR: A Single-stage Transformer for Fine-grained Sub-second Action Segmentation in Stroke Rehabilitation
Halil Ismail Helvaci, Justin Philip Huber, Jihye Bae +1
Stroke rehabilitation often demands precise tracking of patient movements to monitor progress, with complexities of rehabilitation exercises presenting two critical challenges: fin…