Datasets:
Update README.md
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by saifsahriar - opened
README.md
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@@ -25,8 +25,6 @@ This dataset is designed to aid the detection of rash driving behavior on bikes
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This dataset consists of sensor data from bikes equipped with mobile sensors, specifically aimed at detecting rash driving behavior. The dataset contains the following features:
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- **Accelerometer Data**: Accelerations along the x, y, and z axes (`ax`, `ay`, `az`).
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- **Sensor Orientation**: Azimuth, pitch, and roll values describing the orientation of the bike.
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- **Geospatial Information**: Latitude and longitude for location data.
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- **Speed**: The speed of the bike during each recording.
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- **Label**: A binary target variable (`is_rash`) indicating whether the riding behavior is considered rash (1) or not (0).
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This dataset is intended for training machine learning models and anomaly detection systems focused on road safety and rider behavior analysis.
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The dataset contains the following fields:
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| Field | Type | Description |
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|---------------|------------|------------------------------------------------------|
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| `device_id` | String | Unique identifier for the device (bike). |
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| `timestamp` | Integer | Timestamp of the data entry. |
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| `ax`, `ay`, `az` | Float | Accelerometer values for the x, y, and z axes. |
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| `azimuth` | Float | Azimuth angle of the bike. |
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| `pitch` | Float | Pitch angle of the bike. |
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| `roll` | Float | Roll angle of the bike. |
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| `lat` | Float | Latitude of the bike's location. |
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| `lon` | Float | Longitude of the bike's location. |
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| `speed` | Float | Speed of the bike. |
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| `is_rash` | Integer | Label indicating rash driving behavior (1 = rash, 0 = safe). |
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## Dataset Creation
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This dataset consists of sensor data from bikes equipped with mobile sensors, specifically aimed at detecting rash driving behavior. The dataset contains the following features:
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- **Accelerometer Data**: Accelerations along the x, y, and z axes (`ax`, `ay`, `az`).
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| 27 |
- **Sensor Orientation**: Azimuth, pitch, and roll values describing the orientation of the bike.
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- **Label**: A binary target variable (`is_rash`) indicating whether the riding behavior is considered rash (1) or not (0).
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This dataset is intended for training machine learning models and anomaly detection systems focused on road safety and rider behavior analysis.
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The dataset contains the following fields:
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| Field | Type | Description |
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|---------------|------------|------------------------------------------------------| |
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| `timestamp` | Integer | Timestamp of the data entry. |
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| `ax`, `ay`, `az` | Float | Accelerometer values for the x, y, and z axes. |
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| `azimuth` | Float | Azimuth angle of the bike. |
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| `pitch` | Float | Pitch angle of the bike. |
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| `roll` | Float | Roll angle of the bike. | |
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| `is_rash` | Integer | Label indicating rash driving behavior (1 = rash, 0 = safe). |
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## Dataset Creation
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