This is the raw wearable dataset from the paper by the authors, titled "Feasibility and patient acceptability of a commercially available wearable and a smartphone application in identification of mot
Minute level step counts obtained from five step counting algorithms for raw accelerometry data, and minute level Activity Counts, MIMS, wear predictions, and wear flags for all participants who wore
The Dada dataset is associated with the paper "Sensor-Embedded Novel Holding Device for Training Hand and Upper Extremity Functions." The data is the results of processed IMU and force sensors. The ot
