Dataset Open Access

EMG and Video Dataset for sensor fusion based hand gestures recognition

Ceolini, Enea; Taverni, Gemma; Payvand, Melika; Donati, Elisa


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  <dc:creator>Ceolini, Enea</dc:creator>
  <dc:creator>Taverni, Gemma</dc:creator>
  <dc:creator>Payvand, Melika</dc:creator>
  <dc:creator>Donati, Elisa</dc:creator>
  <dc:date>2020-02-12</dc:date>
  <dc:description>This dataset contains data for hand gesture recognition recorded with 3 different sensors. 

sEMG: recorded via the Myo armband that is composed of 8 equally spaced non-invasive sEMG sensors that can be placed approximately around the middle of the forearm. The sampling frequency of Myo is 200 Hz. The output of the Myo is a.u 

DVS: Dynamic Video Sensor which is a very low power event-based camera with 128x128 resolution

DAVIS: Dynamic Video Sensor which is a very low power event-based camera with 240x180 resolution that also acquires APS frames.

The dataset contains recordings of 21 subjects. Each subject performed 3 sessions, where each of the 5 hand gesture was recorded 5 times, each lasting for 2s. Between the gestures a relaxing phase of 1s is present where the muscles could go to the rest position, removing any residual muscular activation.

 

Note: All the information for the DVS sensor has been extracted and can be found in the *.npy files. In case the raw data (.aedat) was needed please contact

 

enea.ceolini@ini.uzh.ch

elisa@ini.uzh.ch

==== README ====

 

DATASET STRUCTURE:

EMG, DVS and APS recordings

21 subjects

3 sessions for each subject

5 gestures in each session ('pinky', 'elle', 'yo', 'index', 'thumb')

 

SINGLE DATASETS:

- relax21_raw_emg.zip: contains raw sEMG and annotations (ground truth of gestures) in the format `subjectXX_sessionYY_ZZZ` with `XX` subject ID (01 to 21), `YY` session ID (01-03) and `ZZZ` that can be ‘emg’ or ‘ann’.

 

- relax21_raw_dvs.zip: contains the full-frame dvs events in an array with dimensions 0 -&gt; addr_x, 1 -&gt; addr_y, 2 -&gt; timestamp, 3 -&gt; polarity. The timestamps are in seconds and synchronized with the Myo. Each file is in the format `subjectXX_sessionYY_dvs` with `XX` subject ID (01 to 21), `YY` session ID (01-03).

 

- relax21_cropped_aps.zip: contains the 40x40 pixel aps frames for all subjects and trials in the format `subjectXX_sessionYY_Z_W_K` with `XX` subject ID (01 to 21), `YY` session ID (01-03), Z gesture ('pinky', 'elle', 'yo', 'index', 'thumb’), W trial ID (1-5), `K` frame index.

 

- relax21_cropped_dvs_emg_spikes.pkl: spiking dataset that can be used to reproduce the results in the paper. The dataset is a dictionary with the following keys:


	- y: array of size 1xN with the class (0-&gt;4).
	- sub: array of size 1xN with the subject id (1-&gt;10).
	- sess: array of size 1xN with the session id (1-&gt;3).
	- dvs: list of length N, each object in the list is a 2d array of size 4xT_n where T_n is the number of events in the trial and the 4 dimensions rappresent: 0 -&gt; addr_x, 1 -&gt; addr_y, 2 -&gt; timestamp, 3 -&gt; polarity .
	- emg: list of length N, each object in the list is a 2d array of size 3xT_n where T_n is the number of events in the trial and the 3 dimensions rappresent: 0 -&gt; addr, 1 -&gt; timestamp, 3 -&gt; polarity.


 

 </dc:description>
  <dc:identifier>https://zenodo.org/record/3663616</dc:identifier>
  <dc:identifier>10.5281/zenodo.3663616</dc:identifier>
  <dc:identifier>oai:zenodo.org:3663616</dc:identifier>
  <dc:relation>info:eu-repo/grantAgreement/EC/H2020/753470/</dc:relation>
  <dc:relation>doi:10.5281/zenodo.3228845</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:subject>EMG</dc:subject>
  <dc:subject>DVS</dc:subject>
  <dc:subject>DAVIS</dc:subject>
  <dc:subject>Hand gesture recognition</dc:subject>
  <dc:subject>Sensor fusion</dc:subject>
  <dc:subject>Myo</dc:subject>
  <dc:title>EMG and Video Dataset for sensor fusion based hand gestures recognition</dc:title>
  <dc:type>info:eu-repo/semantics/other</dc:type>
  <dc:type>dataset</dc:type>
</oai_dc:dc>
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