README.md

---
license: mit
language:
- en
tags:
- gesture-recognition
- sensor-data
- flex-sensors
- accelerometer
size_categories:
- n<1K
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
dataset_info:
  features:
  - name: label
    dtype: string
  - name: batch
    list:
      list: int64
  splits:
  - name: train
    num_examples: 180
  - name: test
    num_examples: 48
---


# Gesture Recognition Dataset

## Dataset Structure
- **Labels**: ['Good', 'Null', 'Thirsty', 'Bad', 'Me', 'Hungry']
- **Format**: Each record contains a 'label' and a 'batch' field
- **Batch Size**: 30 rows per batch (30 time steps)
- **Features**: 15 columns per row
- **Selection Method**: cosine_similarity - Files selected based on similarity to majority pattern

## Column Information
Each row in a batch contains 15 values in this order:
 1. Timestamp    - Timestamp
 2. F1           - Flex sensor 1
 3. F2           - Flex sensor 2
 4. F3           - Flex sensor 3
 5. F4           - Flex sensor 4
 6. F5           - Flex sensor 5
 7. Acc_Fin_x    - Accelerometer Fin x axis
 8. Acc_Fin_y    - Accelerometer Fin y axis
 9. Acc_Fin_z    - Accelerometer Fin z axis
10. Acc_Palm_x   - Accelerometer Palm x axis
11. Acc_Palm_y   - Accelerometer Palm y axis
12. Acc_Palm_z   - Accelerometer Palm z axis
13. Acc_Arm_x    - Accelerometer Arm x axis
14. Acc_Arm_y    - Accelerometer Arm y axis
15. Acc_Arm_z    - Accelerometer Arm z axis

## Data Format
```python
{
    'label': 'gesture_name',  # One of: ['Good', 'Null', 'Thirsty', 'Bad', 'Me', 'Hungry']
    'batch': [
        [Timestamp,F1, F2, F3, F4, F5, Acc_Fin_x, Acc_Fin_y, Acc_Fin_z, Acc_Palm_x, Acc_Palm_y, Acc_Palm_z, Acc_Arm_x, Acc_Arm_y, Acc_Arm_z],  # Row 1
        [Timestamp,F1, F2, F3, F4, F5, Acc_Fin_x, Acc_Fin_y, Acc_Fin_z, Acc_Palm_x, Acc_Palm_y, Acc_Palm_z, Acc_Arm_x, Acc_Arm_y, Acc_Arm_z],  # Row 2
        ...  # 30 rows total
    ]
}
```

## Sensors
- **F1-F5**: Flex sensors measuring finger bend (5 sensors)
- **Acc_Fin**: Accelerometer on finger (x, y, z axes)
- **Acc_Palm**: Accelerometer on palm (x, y, z axes)  
- **Acc_Arm**: Accelerometer on arm (x, y, z axes)

## Data Quality
Files were selected using cosine_similarity to ensure the most representative samples for each gesture class.