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An Analysis of Sensor-Oriented vs. Model-Based Activity Recognition

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3 Author(s)
Zinnen, A. ; SAP Res., Germany ; Blanke, U. ; Schiele, B.

Model-based activity recognition has been recently proposed as an alternative to signal-oriented recognition. Such model-based approaches seem attractive due to their ability to enable user-independent activity recognition and due to their improved robustness to signal-variation. The first goal of this paper is therefore to systematically analyze the benefit of body-model derived primitives in different sensor settings for multi activity recognition. Furthermore we propose a new body-model based approach using accelerometer sensors only thereby reducing the sensor requirements significantly. Results on a 20 activity dataset indicate that body-model based approaches consistently improve results over signal-oriented approaches.

Published in:

Wearable Computers, 2009. ISWC '09. International Symposium on

Date of Conference:

4-7 Sept. 2009