Ankle Sensor Data from Parkinson's Disease Patients in Semi-Free Living Conditions for Freezing of Gait Detection

This dataset contains preprocessed accelerometer and gyroscope data collected from ankle-mounted sensors worn on the right ankle of people with Parkinson's Disease. The measurements were conducted in a semi-free living environment, enabling the analysis of real-world movement patterns. The data is structured into tensors for machine learning research on freezing of gait (FOG) detection. Two distinct datasets are provided:<br><strong>All-Activities and FOG</strong>: Includes data from various activities along with FOG episodes.<strong>Walking-Turning and FOG</strong>: Includes data specifically from walking, turning, and FOG episodes.Each dataset includes time-series data and corresponding binary labels indicating the presence or absence of FOG. Associated metadata provides additional descriptive information for each sample.