A Naive Technique Correcting Time-Series Data for Recognition Applications

Wireless sensor data collected under real world conditionscan contain a variety of errors and inconsistenciesthat can affect pattern recognition algorithms. We describea naive method for correcting wireless sensor data collectedvia non–real–time platforms and visualize the results usingwireless accelerometer data.