|
Download README.md from MadNad/Real-Time-Gesture-Control-System-for-Precision-Control: direct link, hf CLI and curl.
- Browser
- Download file 3.49 kB
-
https://huggingface.co/datasets/MadNad/Real-Time-Gesture-Control-System-for-Precision-Control/resolve/main/README.md
- Command line
-
hf download hf://datasets/MadNad/Real-Time-Gesture-Control-System-for-Precision-Control/README.md
-
curl -L -o README.md https://huggingface.co/datasets/MadNad/Real-Time-Gesture-Control-System-for-Precision-Control/resolve/main/README.md
3.49 kB
| license: mit | |
| language: | |
| - en | |
| configs: | |
| - config_name: raw | |
| data_files: "**/raw/*.csv" | |
| - config_name: fft | |
| data_files: "**/fft/*.csv" | |
| tags: | |
| - gestures | |
| - classification | |
| - robotics | |
| # Real Time Gesture Recognition Dataset | |
| This repository contains the dataset for the [Real-Time-Gesture-Control-System-for-Precision-Control](https://github.com/Incomprehensible/Real-Time-Gesture-Control-System-for-Precision-Control) project that focuses on the development of a real-time gesture control system using the [uMyo EMG sensors](https://hackaday.io/project/186038-umyo-wearable-emg-sensor-with-wetdry-electrodes). | |
| ## Description | |
| The dataset is divided into two folders: `dynamic_gestures` and `static_gestures`. The first contains loosely-timed sessions of gesture recordings where the gesture is repeated several times between intervals of rest. The second contains a single recording of each gesture, where the gesture is held for a few seconds. The gestures are: `baseline`, `fist`, `up`, `down`, `peace`, and `lift`. New gesture recordings and more gestures will be uploaded soon. | |
| Every subject has two types of recordings: the raw EMG data in the `raw` folder and the FFT data in the `fft` folder. | |
| Each individual recording is a CSV file dedicated to a single gesture performed by a subject. | |
| ## Structure | |
| ``` | |
| dynamic_gestures | |
| ├── session-DD_MM_YY | |
| │ ├── subject1 | |
| │ │ ├── fft | |
| │ │ │ ├── fft_subject1_baseline.csv | |
| │ │ │ ├── fft_subject1_fist.csv | |
| │ │ │ ├── fft_subject1_up.csv | |
| │ │ │ ├── ... | |
| │ │ ├── raw | |
| │ │ │ ├── subject1_baseline.csv | |
| │ │ │ ├── subject1_fist.csv | |
| │ │ │ ├── subject1_up.csv | |
| │ │ │ ├── ... | |
| │ ├── subject2 | |
| │ └── ... | |
| ├── session-DD_MM_YY | |
| └── ... | |
| static_gestures | |
| ├── session-DD_MM_YY | |
| │ ├── subject1 | |
| │ │ ├── fft | |
| │ │ │ ├── fft_subject1_baseline.csv | |
| │ │ │ ├── fft_subject1_fist.csv | |
| │ │ │ ├── fft_subject1_up.csv | |
| │ │ │ ├── ... | |
| │ │ ├── raw | |
| │ │ │ ├── subject1_baseline.csv | |
| │ │ │ ├── subject1_fist.csv | |
| │ │ │ ├── subject1_up.csv | |
| │ │ │ ├── ... | |
| │ ├── subject2 | |
| │ └── ... | |
| ├── session-DD_MM_YY | |
| └── ... | |
| ``` | |
| ## Contents | |
| ## Raw EMG Data | |
| The raw EMG data is a header-less CSV file with the columns containing 8 successive EMG readings from the corresponding sensor: | |
| ``` | |
| [sensor 1] [sensor 2] [sensor 3] [sensor 4] [sensor 5] | |
| [0]: [8 readings][8 readings][8 readings][8 readings][8 readings] | |
| [1]: [8 readings][8 readings][8 readings][8 readings][8 readings] | |
| [2]: [8 readings][8 readings][8 readings][8 readings][8 readings] | |
| [3]: [8 readings][8 readings][8 readings][8 readings][8 readings] | |
| ... | |
| ``` | |
| Each row can be treated as a single 5-dimensional data unit in time. | |
| ## FFT EMG Data | |
| The FFT EMG data is a header-less CSV file with the columns containing 4 FFT bins with ~143 Hz resolution from the corresponding sensor: | |
| ``` | |
| [sensor 1] [sensor 2] [sensor 3] [sensor 4] [sensor 5] | |
| [0]: [4 bins] [4 bins] [4 bins] [4 bins] [4 bins] | |
| [1]: [4 bins] [4 bins] [4 bins] [4 bins] [4 bins] | |
| [2]: [4 bins] [4 bins] [4 bins] [4 bins] [4 bins] | |
| [3]: [4 bins] [4 bins] [4 bins] [4 bins] [4 bins] | |
| ... | |
| ``` | |