The applications of activity recognition have increased in the last years. Among its uses are promoting healthy life styles or monitoring professional users (like first responders) during life-threatening operations; which caused the need for new research lines. However systems using common devices (like smart phones) equipped with the necessary sensors (e.g. inertial sensors) are not fully developed. Our work develops and activity recognition system, with a focus on professional users, that uses a displaceable sensor. The activity set is comprised of the most common activities (static, walking, running, etc.) but also crawling and 3D motions like stairs walking. A detector of upright dynamic activities has been developed and implemented to cope with the changing sensor position. The system is evaluated using 10-fold cross validation with the inference network, and recall with the detector. The final system proves to perform well with respect to the initial requirements.
['Dina Bousdar Ahmed', 'Korbinian Frank', 'Oliver Heirich']
Recognition of Professional Activities with Displaceable Sensors