Kinematic Biomarkers of Chronic Neck Pain During Curvilinear Walking: A Data-driven Differential Diagnosis Approach*. - David Jiménez-Grande; Seyed Farokh Atashzar; Eduardo Martinez-Valdes; Alessandro Marco De Nunzio; Deborah Falla (EMBC, 2020)

Trunk Muscle Coactivation in People with and without Low Back Pain during Fatiguing Frequency-Dependent Lifting Activities. - Tiwana Varrecchia; Silvia Conforto; Alessandro Marco De Nunzio; Francesco Draicchio; Deborah Falla; Alberto Ranavolo (Sensors, 2022)

Predicting physical activity levels from kinematic gait data using machine learning techniques. - Svonko Galasso; Renato Baptista; Mario Molinara; Serena Pizzocaro; Rocco Salvatore Calabrò; Alessandro Marco De Nunzio (Eng. Appl. Artif. Intell., 2023)

Markerless Machine Learning Approach for Gait Classification in Knee Osteoarthritis. - Cesare Davide Pace; Alessandro Marco De Nunzio; Claudio De Stefrano; Francesco Fontanella; Mario Molinara (ICPR (Workshops and Challenges, 2), 2024)

Adopting BiLSTM for Gait Phase Recognition in Exoskeleton Control via sEMG Signals. - Bruna Maria Vittoria Guerra; Micaela Schmid; Stefania Sozzi; Serena Pizzocaro; Alessandro Marco De Nunzio; Stefano Ramat (MeMeA, 2024)

AI Processing of Wearable IMU Data for Exoskeleton Gait Analysis. - Bruna Maria Vittoria Guerra; Stefania Sozzi; Serena Pizzocaro; Alessandro Marco De Nunzio; Micaela Schmid (RTSI, 2024)

A Novel Measurement Procedure for Error Correction in Single Camera Gait Analysis. - Svonko Galasso; Chiara Carissimo; Gianni Cerro; Mario Molinara; Luigi Ferrigno; Rocco Salvatore Calabrò; Alessandro Marco De Nunzio (IEEE Access, 2024)

Poseidon: A ViT-based Architecture for Multi-Frame Pose Estimation with Adaptive Frame Weighting and Multi-Scale Feature Fusion. - Cesare Davide Pace; Alessandro Marco De Nunzio; Claudio De Stefano; Francesco Fontanella; Mario Molinara (CoRR, 2025)