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Gesture Recognition

At the Cognitive Systems Lab we use Ineartial Measurement Units (IMUs), as well as Electromyography (EMG) to recognize gestures for innovative user interfaces. IMUs are used to measure movements by combining accelerometers and gyroscopes. On the other hand, EMG measures the electrical potential on the human skin during muscular activities. Both technologies are of interest for the field of mobile interfaces due to them being fully wearable.




Public data corpus

Various groups deal with using IMUs and EMG in the context of gesture recognition. A comparison between their results is often very hard, due to the multitude of different tasks and gesture sets. In addition, often the performance in session-, as well as person-independent recognition are not evaluated, both being of special importance for practical and usable interfaces.

We publish the data corpus we collected during our experiments for gesture recognition using IMUs and EMG. We collected both IMU and EMG readings from 5 different subjects in 5 different session.

If you want to use this data, please cite:

Georgi M., Amma C. and Schultz T. (2015). Recognizing Hand and Finger Gestures with IMU based Motion and EMG based Muscle Activity Sensing. In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing, pages 99-108. DOI: 10.5220/0005276900990108

The complete data can be found here: Download