Dealing with the Effects of Sensor Displacement in Wearable Activity Recognition

Dealing with the Effects of Sensor Displacement in Wearable Activity Recognition

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Most wearable activity recognition systems assume a predefined sensor deployment that remains unchanged during runtime.However, this assumption does not reflect real-life conditions.During the normal use of such systems, users may place the sensors in a position different Twin Storage Bed w/Bookcase HDBD from the predefined sensor placement.

Also, sensors may move from their original location to a different one, due to a loose attachment.Activity recognition systems trained on activity patterns characteristic of a given sensor deployment may likely fail due to sensor displacements.In this work, we innovatively explore the effects of sensor displacement induced by both the intentional misplacement of sensors and self-placement by the user.

The effects of sensor displacement are analyzed for standard activity recognition techniques, as well as for an alternate robust sensor fusion method proposed in a previous work.While classical recognition models show little tolerance to sensor displacement, the proposed method is proven to have notable capabilities to assimilate the changes introduced in the sensor Wrestling - Accessories position due to self-placement and provides considerable improvements for large misplacements.