The data were collected with the MYO armband for four different hand movements: fist, cylindrical grip, spherical grip and tip pinch. 225 tests were obtained from different users for each movement and a total of 900 tests for the four movements. Each Prueba*** file corresponds to a different person. The age range is 20 to 45 years of the male and female gender. Each of the tests contains 9 different attributes. The first eight columns correspond to each of the sEMG sensors, column 9 contains sampling time information. Each test includes 998 samples per sensor. The total time sampled was 5 seconds for each movement
This dataset contains data for use in handwritten character recognition from sEMG. It contains recor...
Hand prostheses controlled by surface electromyography are promising due to the non-invasive approac...
The proposed dataset was developed as a standard benchmarking dataset, especially for EMG community ...
The data were collected with the MYO armband for four different hand movements: fist, cylindrical gr...
The data set is a part of the ongoing research work to perform gesture classification using Machine ...
The Data consists of the spectrogram of electromyography signals for 1 user. The user performed 5 ha...
This dataset contains 2 sets of sEMG recordings: a set containing PINCH movements (4 pinches betwee...
This dataset provides EMG data generated by the Myo Armband in response to eight hand gestures. This...
The 5th Ninapro database includes 10 intact subjects recorded with two Thalmic Myo (https://www.myo....
The 5th Ninapro database includes 10 intact subjects recorded with two Thalmic Myo (https://www.myo....
This dataset contains surface electromyography (sEMG) data of 5 different hand gestures performed by...
This dataset contains sEMG and grasp fore data from 5 volunteers. The data collection process is as...
This dataset contains surface electromyography (sEMG) data of 5 different hand gestures performed by...
This dataset contains data for use in handwritten character recognition from sEMG. It contains recor...
Two files with a dataset of five different/independent hand gestures are provided. The data were gen...
This dataset contains data for use in handwritten character recognition from sEMG. It contains recor...
Hand prostheses controlled by surface electromyography are promising due to the non-invasive approac...
The proposed dataset was developed as a standard benchmarking dataset, especially for EMG community ...
The data were collected with the MYO armband for four different hand movements: fist, cylindrical gr...
The data set is a part of the ongoing research work to perform gesture classification using Machine ...
The Data consists of the spectrogram of electromyography signals for 1 user. The user performed 5 ha...
This dataset contains 2 sets of sEMG recordings: a set containing PINCH movements (4 pinches betwee...
This dataset provides EMG data generated by the Myo Armband in response to eight hand gestures. This...
The 5th Ninapro database includes 10 intact subjects recorded with two Thalmic Myo (https://www.myo....
The 5th Ninapro database includes 10 intact subjects recorded with two Thalmic Myo (https://www.myo....
This dataset contains surface electromyography (sEMG) data of 5 different hand gestures performed by...
This dataset contains sEMG and grasp fore data from 5 volunteers. The data collection process is as...
This dataset contains surface electromyography (sEMG) data of 5 different hand gestures performed by...
This dataset contains data for use in handwritten character recognition from sEMG. It contains recor...
Two files with a dataset of five different/independent hand gestures are provided. The data were gen...
This dataset contains data for use in handwritten character recognition from sEMG. It contains recor...
Hand prostheses controlled by surface electromyography are promising due to the non-invasive approac...
The proposed dataset was developed as a standard benchmarking dataset, especially for EMG community ...