Balance function characterization and assessment
A multimodal representation (using data acquired by a movement analysis laboratory) is designed to enhance evaluation of the balance performance of both asymptomatic subjects and patients exhibiting diseases or conditions affecting the balance function and the postural control system
Video-based stabilometry for portable balance evaluation
A machine-learning based model allows the acquisition of statokinesigrams and stabilograms using only the Kinect v1 camera and
Reliable posture, ROM and balance measures using depth video
To obtain a realistic version of simplified skeleton models (s.a. the Kinect SDK skeleton tracking approach), an enhanced model is proposed, preserving the physiological and biomechanical properties of the human musculoskeletal system (fixed body segment lengths, restricted joint ROMs and degrees of freedom, etc.). Proper algorithms are applied to control the detection errors and anomalies of the commercial SDKs.