Synthetic LiDAR Dataset for Human Fall Detection
This dataset contains synthetic LiDAR point-cloud sequences representing human fall and non-fall activities. The dataset was created to support research on privacy-preserving fall detection systems for Ambient Assisted Living (AAL) environments. Because collecting real fall events with hum
This dataset contains synthetic LiDAR point-cloud sequences representing human fall and non-fall activities. The dataset was created to support research on privacy-preserving fall detection systems for Ambient Assisted Living (AAL) environments.
Because collecting real fall events with human participants is difficult and ethically constrained, the dataset was generated using a simulation-based approach combining Blender 3D and Mixamo human motion animations. A virtual LiDAR sensor was simulated using the Range Scanner add-on to capture point-cloud data for each animation frame.
The dataset contains 1000 activity sequences, each consisting of 60 LiDAR frames, with approximately 128 LiDAR points per frame.
Dataset Statistics
| Property | Value |
| Total sequences | 1000 |
| Fall sequences | 500 |
| Non-fall sequences | 500 |
| Frames per sequence | 60 |
| LiDAR points per frame | ~128 |
| Total frames | 60,000 |
| Total LiDAR points | ~7.68 million |
Dataset Directory Structure
Dataset (Blender+LiDAR) 1000poses
│
├── Fall Data 500 poses
│ ├── 50FallData_PoseSet part 1
│ ├── 50FallData_PoseSet part 2
│ ├── …
│ └── 50FallData_PoseSet part 10
│
├── No Fall Data 500 poses
│ ├── 50 Drinking 1
│ ├── 50 Running 2
│ ├── 50 Sitting 3
│ ├── 50 Squat 4
│ ├── 50 Standing 5
│ ├── 50 JumpDown 6
│ ├── 50 Walking 7
│ ├── 50 PosesLeftTurn 8
│ ├── 50 Pushing 9
│ ├── Stretching 10
│ ├── running.blend
│ └── stretching_code.blend
Fall Dataset
The “Fall Data 500 poses” directory contains simulated fall activities.
Fall Data 500 poses
│
├── 50FallData_PoseSet part 1
├── 50FallData_PoseSet part 2
├── …
└── 50FallData_PoseSet part 10
Each subset contains 50 pose sequences:
50FallData_PoseSet part 1
│
├── Pose_000_OriginalPose
├── Pose_001
├── Pose_002
├── …
└── Pose_049
Thus:
10 subsets × 50 poses = 500 fall sequences
Non-Fall Dataset
The “No Fall Data 500 poses” directory contains daily human activities.
No Fall Data 500 poses
│
├── 50 Drinking 1
├── 50 Running 2
├── 50 Sitting 3
├── 50 Squat 4
├── 50 Standing 5
├── 50 JumpDown 6
├── 50 Walking 7
├── 50 PosesLeftTurn 8
├── 50 Pushing 9
└── Stretching 10
Each activity folder contains 50 pose sequences.
10 activities × 50 poses = 500 non-f
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Files are hosted on the source repository. Click download to access the full dataset.