File size: 3,486 Bytes
88305bd 5bf3409 88305bd 5bf3409 88305bd 79757ff d92b686 79757ff d06d943 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 |
---
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]
...
```
|