MyoBit
Public gesture dataset

MyoBit is a public dataset made by BIOFRONTIER specially for sEMG-based gesture recognition under non-ideal conditions.

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Dataset Specification

Subjects

MyoBit recorded 24 subjects (12 males, 12 females) with 7 gestures under 9 non-ideal conditions.

Experimental Environment

The data set is collected with the help of the BIOFRONTIER Gesture wristband Learn More >and the Gesture Toolbox Download >，and is operated by using different equipment to set non-ideal conditions in multi-tasking environment.

Ethical Statement

The MyoBit collection process follows the Helsinki Declaration and ethical review.

Paper

"MyoBit: A Public Dataset Based on An Armband with 16 sEMG Channels for Gesture Recognition under Non-ideal Conditions" has been included in the IEEE MMAR2023 International Conference, which introduces the dataset in detail.Download >