UC2018 DualMyo Hand Gesture Dataset

This is set of data obtained from two consumer-market EMG sensors (Myo) with a subject performs 8 distinct hand gestures.

There are a total of 110 repetitions of each class of gesture obtained across 5 recording sessions.

Besides the data set, which is saved in a python pickle file, we include a python test script to load the data, generate random synthetic sequences of gestures and classify them with multiple models.

Gesture library:

1. Rest
2. Closed fist
3. Open hand
4. Wave in
5. Wave out
6. Double-tap
7. Hand down
8. Hand up

Device placement:

1. The two Myos are placed on the forearm with the usb port pointing outwards, palm and sensor 5 facing upwards.
2. The Myos are next to one another with their middle position close the the thickest section of the forearm.
3. The outwards Myo is rotated slightly so that sensor 5 is aligned with  the axis of the palmaris longus tendon.
4. The Myo inside is rotated so that it has an angle of 22.5 degrees with the first Myo, in clockwise direction (subject perspective).

Acquisition protocol:

The subjects wear the armbands according to the instructions above. The sensors are run for a few minutes to warm-up.

The subjects are requested to hold the positions of the gestures for a few seconds while we record 2 seconds of data. The gestures are repeated in random order in several sessions.