This is BandMyo Dataset for sEMG based gesture recognition.
BandMyo is a sEMG based gesture recognition dataset recorded with one Myo armband worn on the forearm. It consists of 15 static gestures, as shown in Fig gesture_definition.png. Six subjects are recruited to data collection, including four males (age: 21-26) and two females (age: 23-25). During the data collection process, subject performs all 15 gestures following video guidance, and the sEMG signal is recorded at the same time. When all 15 gestures are finished, subject takes off equipment and takes a short rest. Subsequently, he/she takes on the equipment again and repeats the previous procedure. Finally, this procedure repeats 8 times and every repetition is contributed by subject in different scenarios.