Demo Abstract: A Real Time Control System for Replaying Motion Data

This paper demonstrates a laboratory setup to replay previously collected experimental human motion data in real-time, allowing data re-purposing for activity recognition. The setup proposed is to examine the suitability of simulating motion by replaying a previously collected data using an Electrodynamic Shaker - a table that can generate motion based on pre-recorded accelerometer traces. Building upon the information gathered from the sensor input, accurate continuous motion data from human dynamic movements can be recreated. By reusing data from past projects with novel or alternative sensor attachments, new datasets are created generating activity data for movement recognition without requiring volunteers or time consuming data collection. This demo illustrates the potential for accurate low-cost in-house motion data collection without requiring field experiments.