Accurate estimation of gait characteristics, including step length, step velocity, and travel distance, is critical for assessing mobility in toddlers, children, and teens with Duchenne muscular dystrophy (DMD) and typically developing (TD) peers.
Erik K. Henricson, Albara Ah Ramli
doaj +1 more source
Optimizing a Bayesian Method for Estimating the Hurst Exponent in Behavioral Sciences
The Bayesian Hurst–Kolmogorov (HK) method estimates the Hurst exponent of a time series more accurately than the age-old Detrended Fluctuation Analysis (DFA), especially when the time series is short.
Madhur Mangalam +3 more
doaj +1 more source
Optical sensor technologies are reshaping obesity detection by enabling non-invasive, dynamic analysis of biomechanical and morphological biomarkers. This review synthesizes recent advances in three key areas: optical gait analysis, vision-based pose ...
Sabrine Dhaouadi +3 more
doaj +1 more source
Real-Time Foot Height Estimation and Activity Classification Using a Foot-Mounted IMU Implemented on a Smartphone. [PDF]
Sharafian Moghaddam E, Hejrati B.
europepmc +1 more source
Gait and movement analysis for discrimination between people with dementia and healthy control persons based on pose estimation and machine learning. [PDF]
Al-Hammadi M, Fleyeh H, Thomas I.
europepmc +1 more source
SANE (eaSy gAit aNalysis systEm): real-time dual-depth, marker-less system characterisation and robustness of gait parameters. [PDF]
Cafolla D, Chaparro-Rico BDM.
europepmc +1 more source
Cognitive Radio for Satellite TT & C System: A General Dataset Using Software-defined Radio. [PDF]
Zhang Y +5 more
europepmc +1 more source
Wearable Sensor-Derived Gait Parameters Across Self-Reported Physical Activity Levels in Individuals With Knee Osteoarthritis and Healthy Controls: Pilot Cross-Sectional Validation Study. [PDF]
Odonkor CA +6 more
europepmc +1 more source
Is the walk and trot efficiency a hereditary trait in primitive Konik Polski horses? [PDF]
Siemieniuch-Tartanus M +2 more
europepmc +1 more source
Continuous assessment of daily-living gait using self-supervised learning of wrist-worn accelerometer data. [PDF]
Brand YE +13 more
europepmc +1 more source

