arXiv:2606. 00345v1 Announce Type: new Abstract: Wearable and mobile sensing technologies enable continuous monitoring of human behavior and health in real-world settings.
By Flavio Di Martino, Mattia G. Campana, Marcello Magno, Lorenza Pratali, Franca Delmastro
DeMMO is an interpretable framework that models longitudinal digital mobility outcomes (DMOs) across multiple diseases and outcomes using multi-task learning. It introduces a cross-disease, cross-outcome relation-learning mechanism that learns signed relationships from longitudinal DMO coefficient matrices, allowing selective information sharing even when disease cohorts lack shared participants. Evaluated on the Mobilise‑D dataset, DeMMO outperforms nine strong baselines and identifies reliable longitudinal DMO patterns for clinical validation.
By Menghui Zhou, Zhipeng Yuan, Vitaveska Lanfranchi, Po Yang
The paper introduces a wireless smart insole that uses 16 pressure sensors and a six‑axis IMU to detect sitting, standing, walking, and unstable walking. Data from 15 healthy adults were processed in overlapping windows and evaluated with participant‑independent cross‑validation, achieving macro‑F1 scores of 0.954–0.980 using Histogram‑Based Gradient Boosting. A compact 1D‑CNN performed similarly but did not significantly outperform the gradient‑boosting model.
By Edwin Rios, Antony Garcia, Fengpei Yuan, Xinming Huang
arXiv:2609.22619v1 Announce Type: new
Abstract: Tracking recovery of walking function requires detecting meaningful gait change across rehabilitation sessions, yet objective 3D measurement remains co...
By Nethmi Jayasinghe, Mihir Parashar, Amit Ranjan Trivedi
The Action Research Arm Test (ARAT) is a widely-used upper limb outcome measure in neurorehabilitation, but its ordinal scoring is subjective and suffers from limited sensitivity and specificity. We evaluated whether artificial-intelligence (AI)-based markerless motion capture (MMC), embedded into ARAT assessments during clinical routine, accurately reconstructs upper limb movement and yields valid, objective kinematic metrics carrying clinically meaningful information beyond the ordinal score.
arXiv:2608. 14663v1 Announce Type: new Abstract: As global populations age, enhancing neighborhood walkability through inclusive urban design is important for mitigating built environment (BE) barriers that discourage physical activity and social participation among older adults.
By Houhao Liang, Kresimir Friganovic, Joanne Kua, Noor Hafizah Ismail, Su Su, Bryan Yijia Tan, Navrag B. Singh, Panos Mavros