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View all- Khaked AOishi NRoggen DLago P(2025)In Shift and In Variance: Assessing the Robustness of HAR Deep Learning Models Against VariabilitySensors10.3390/s2502043025:2(430)Online publication date: 13-Jan-2025
The authors describe an example of application of a nonlinear time series analysis directed at identifying the presence of deterministic chaos in human gait kinematic data by means of the largest Lyapunov exponent (LLE). A positive LLE value is ...
A variability analysis of upper limb therapeutic movements using wearable inertial sensors is presented. Five healthy young adults were asked to perform a set of movements using two sensors placed on the upper arm and forearm. Reference data were ...
Gait motion is strongly relating with human health. Therefore, it is important to analyze the gait motion. This study aims to develop a system to measure sole pressure, acceleration and angular velocity in gait motion. Then the system can measure the ...
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