Vanessa Haug
Biographic Data
| ID | 6951111 |
|---|---|
| NAME | Vanessa Haug |
| GIVEN NAMES | Vanessa |
| FAMILY NAME | Haug |
| SIGNATURE | HAUG V |
| AFFILIATIONS | Agaplesion Bethesda Klinik |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Validation of AI-based markerless gait event detection during perturbed walking using smartphone videos from two camera perspectives
Background Perturbation-based balance training (PBT) requires objective quantification of reactive stepping responses, yet gait event detection during perturbed walking remains methodologically challenging. Markerless smartphone-based gait analysis offers a scalable alternative to laboratory motion capture systems, but its robustness under perturbation-induced gait irregularities is insufficiently validated. This pilot study including five partic…
Reliability of the adapted compensatory arm and leg movements scale during perturbation treadmill walking in older adults
The A-CALM scale showed high intra-rater consistency and moderate-to-substantial inter-rater agreement, with greater reliability for arm than leg movements. Single-rater use is recommended to enhance stability, while future work should refine leg scoring and validate the scale in larger cohorts with outcomes like falls and functional decline
No prominent works on this page.
Reliability of the adapted compensatory arm and leg movements scale during perturbation treadmill walking in older adults
The A-CALM scale showed high intra-rater consistency and moderate-to-substantial inter-rater agreement, with greater reliability for arm than leg movements. Single-rater use is recommended to enhance stability, while future work should refine leg scoring and validate the scale in larger cohorts with outcomes like falls and functional decline
Validation of AI-based markerless gait event detection during perturbed walking using smartphone videos from two camera perspectives
Background Perturbation-based balance training (PBT) requires objective quantification of reactive stepping responses, yet gait event detection during perturbed walking remains methodologically challenging. Markerless smartphone-based gait analysis offers a scalable alternative to laboratory motion capture systems, but its robustness under perturbation-induced gait irregularities is insufficiently validated. This pilot study including five partic…
Balance, Gait, and Falls Prevention (2 works) · Treadmill (2 works) · Activities of daily living (1 work) · Cerebral Palsy and Movement Disorders (1 work) · Diagonal (1 work) · Gait (1 work) · Gait analysis (1 work) · Gait Recognition and Analysis (1 work) · Ground reaction force (1 work) · Human Pose and Action Recognition (1 work)