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file_mapping.txt

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+MPSC-RR Dataset File Mapping
+========================================
+
+Total files: 31
+Subjects: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24]
+Positions: {'front': 6, 'back': 4, 'lying': 5, 'side': 16}
+
+File Details:
+--------------------
+s1_back.mov - Subject 1 (back)
+s1_front.mov - Subject 1 (front)
+s1_lying.mov - Subject 1 (lying)
+s2_back.mov - Subject 2 (back)
+s2_front.mov - Subject 2 (front)
+s2_lying.mov - Subject 2 (lying)
+s3_back.mov - Subject 3 (back)
+s3_lying.mov - Subject 3 (lying)
+s4_front.mov - Subject 4 (front)
+s5_front.mov - Subject 5 (front)
+s5_lying.mov - Subject 5 (lying)
+s6_front.mov - Subject 6 (front)
+s7_side.mov - Subject 7 (side)
+s8_side.mov - Subject 8 (side)
+s9_side.mov - Subject 9 (side)
+s10_side.mov - Subject 10 (side)
+s11_side.mov - Subject 11 (side)
+s12_side.mov - Subject 12 (side)
+s13_side.mov - Subject 13 (side)
+s14_side.mov - Subject 14 (side)
+s15_side.mov - Subject 15 (side)
+s16_side.mov - Subject 16 (side)
+s17_side.mov - Subject 17 (side)
+s18_side.mov - Subject 18 (side)
+s19_side.mov - Subject 19 (side)
+s20_side.mp4 - Subject 20 (side)
+s21_side.mov - Subject 21 (side)
+s22_side.mov - Subject 22 (side)
+s23_front.mov - Subject 23 (front)
+s24_back.mov - Subject 24 (back)
+s24_lying.mov - Subject 24 (lying)

metadata.json

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+{
+  "dataset_info": {
+    "name": "MPSC-RR",
+    "version": "1.0",
+    "description": "Multi-Position Respiratory Monitoring Dataset",
+    "total_videos": 31,
+    "analyzed_date": "2025-01-01"
+  },
+  "videos": {
+    "s1_front": {
+      "video_id": "s1_front",
+      "filename": "s1_front.mov",
+      "subject_id": 1,
+      "view_position": "front",
+      "duration_seconds": 186.9,
+      "resolution": "640x376",
+      "frame_rate": 30.0,
+      "file_size_mb": 71.9
+    },
+    "s1_back": {
+      "video_id": "s1_back",
+      "filename": "s1_back.mov",
+      "subject_id": 1,
+      "view_position": "back",
+      "duration_seconds": 168.2,
+      "resolution": "564x320",
+      "frame_rate": 30.0,
+      "file_size_mb": 64.6
+    },
+    "s1_lying": {
+      "video_id": "s1_lying",
+      "filename": "s1_lying.mov",
+      "subject_id": 1,
+      "view_position": "lying",
+      "duration_seconds": 148.8,
+      "resolution": "442x210",
+      "frame_rate": 30.0,
+      "file_size_mb": 57.1
+    },
+    "s2_front": {
+      "video_id": "s2_front",
+      "filename": "s2_front.mov",
+      "subject_id": 2,
+      "view_position": "front",
+      "duration_seconds": 179.4,
+      "resolution": "640x356",
+      "frame_rate": 30.0,
+      "file_size_mb": 69.1
+    },
+    "s2_back": {
+      "video_id": "s2_back",
+      "filename": "s2_back.mov",
+      "subject_id": 2,
+      "view_position": "back",
+      "duration_seconds": 186.1,
+      "resolution": "640x372",
+      "frame_rate": 30.0,
+      "file_size_mb": 71.7
+    },
+    "s2_lying": {
+      "video_id": "s2_lying",
+      "filename": "s2_lying.mov",
+      "subject_id": 2,
+      "view_position": "lying",
+      "duration_seconds": 176.5,
+      "resolution": "436x226",
+      "frame_rate": 30.0,
+      "file_size_mb": 67.8
+    },
+    "s3_back": {
+      "video_id": "s3_back",
+      "filename": "s3_back.mov",
+      "subject_id": 3,
+      "view_position": "back",
+      "duration_seconds": 177.2,
+      "resolution": "640x370",
+      "frame_rate": 30.0,
+      "file_size_mb": 68.1
+    },
+    "s3_lying": {
+      "video_id": "s3_lying",
+      "filename": "s3_lying.mov",
+      "subject_id": 3,
+      "view_position": "lying",
+      "duration_seconds": 184.7,
+      "resolution": "452x156",
+      "frame_rate": 30.0,
+      "file_size_mb": 70.8
+    },
+    "s4_front": {
+      "video_id": "s4_front",
+      "filename": "s4_front.mov",
+      "subject_id": 4,
+      "view_position": "front",
+      "duration_seconds": 163.4,
+      "resolution": "1346x1080",
+      "frame_rate": 30.1,
+      "file_size_mb": 170.7
+    },
+    "s5_front": {
+      "video_id": "s5_front",
+      "filename": "s5_front.mov",
+      "subject_id": 5,
+      "view_position": "front",
+      "duration_seconds": 169.5,
+      "resolution": "1496x1080",
+      "frame_rate": 30.1,
+      "file_size_mb": 177.0
+    },
+    "s5_lying": {
+      "video_id": "s5_lying",
+      "filename": "s5_lying.mov",
+      "subject_id": 5,
+      "view_position": "lying",
+      "duration_seconds": 243.7,
+      "resolution": "966x1080",
+      "frame_rate": 30.1,
+      "file_size_mb": 254.6
+    },
+    "s6_front": {
+      "video_id": "s6_front",
+      "filename": "s6_front.mov",
+      "subject_id": 6,
+      "view_position": "front",
+      "duration_seconds": 282.0,
+      "resolution": "1602x1080",
+      "frame_rate": 30.1,
+      "file_size_mb": 294.4
+    },
+    "s7_side": {
+      "video_id": "s7_side",
+      "filename": "s7_side.mov",
+      "subject_id": 7,
+      "view_position": "side",
+      "duration_seconds": 240.5,
+      "resolution": "996x850",
+      "frame_rate": 30.1,
+      "file_size_mb": 251.5
+    },
+    "s8_side": {
+      "video_id": "s8_side",
+      "filename": "s8_side.mov",
+      "subject_id": 8,
+      "view_position": "side",
+      "duration_seconds": 280.8,
+      "resolution": "848x480",
+      "frame_rate": 30.0,
+      "file_size_mb": 83.0
+    },
+    "s9_side": {
+      "video_id": "s9_side",
+      "filename": "s9_side.mov",
+      "subject_id": 9,
+      "view_position": "side",
+      "duration_seconds": 290.5,
+      "resolution": "320x434",
+      "frame_rate": 30.0,
+      "file_size_mb": 133.4
+    },
+    "s10_side": {
+      "video_id": "s10_side",
+      "filename": "s10_side.mov",
+      "subject_id": 10,
+      "view_position": "side",
+      "duration_seconds": 295.3,
+      "resolution": "1188x1080",
+      "frame_rate": 30.0,
+      "file_size_mb": 308.5
+    },
+    "s11_side": {
+      "video_id": "s11_side",
+      "filename": "s11_side.mov",
+      "subject_id": 11,
+      "view_position": "side",
+      "duration_seconds": 284.5,
+      "resolution": "1038x918",
+      "frame_rate": 30.0,
+      "file_size_mb": 297.2
+    },
+    "s12_side": {
+      "video_id": "s12_side",
+      "filename": "s12_side.mov",
+      "subject_id": 12,
+      "view_position": "side",
+      "duration_seconds": 287.7,
+      "resolution": "510x480",
+      "frame_rate": 30.0,
+      "file_size_mb": 132.5
+    },
+    "s13_side": {
+      "video_id": "s13_side",
+      "filename": "s13_side.mov",
+      "subject_id": 13,
+      "view_position": "side",
+      "duration_seconds": 288.2,
+      "resolution": "1314x1080",
+      "frame_rate": 30.0,
+      "file_size_mb": 300.9
+    },
+    "s14_side": {
+      "video_id": "s14_side",
+      "filename": "s14_side.mov",
+      "subject_id": 14,
+      "view_position": "side",
+      "duration_seconds": 286.7,
+      "resolution": "1080x848",
+      "frame_rate": 24.0,
+      "file_size_mb": 263.8
+    },
+    "s15_side": {
+      "video_id": "s15_side",
+      "filename": "s15_side.mov",
+      "subject_id": 15,
+      "view_position": "side",
+      "duration_seconds": 292.7,
+      "resolution": "304x304",
+      "frame_rate": 30.1,
+      "file_size_mb": 72.1
+    },
+    "s16_side": {
+      "video_id": "s16_side",
+      "filename": "s16_side.mov",
+      "subject_id": 16,
+      "view_position": "side",
+      "duration_seconds": 299.3,
+      "resolution": "1044x1080",
+      "frame_rate": 30.0,
+      "file_size_mb": 312.6
+    },
+    "s17_side": {
+      "video_id": "s17_side",
+      "filename": "s17_side.mov",
+      "subject_id": 17,
+      "view_position": "side",
+      "duration_seconds": 283.2,
+      "resolution": "346x586",
+      "frame_rate": 30.0,
+      "file_size_mb": 130.2
+    },
+    "s18_side": {
+      "video_id": "s18_side",
+      "filename": "s18_side.mov",
+      "subject_id": 18,
+      "view_position": "side",
+      "duration_seconds": 291.7,
+      "resolution": "400x352",
+      "frame_rate": 30.0,
+      "file_size_mb": 81.3
+    },
+    "s19_side": {
+      "video_id": "s19_side",
+      "filename": "s19_side.mov",
+      "subject_id": 19,
+      "view_position": "side",
+      "duration_seconds": 295.3,
+      "resolution": "374x480",
+      "frame_rate": 30.0,
+      "file_size_mb": 135.7
+    },
+    "s20_side": {
+      "video_id": "s20_side",
+      "filename": "s20_side.mp4",
+      "subject_id": 20,
+      "view_position": "side",
+      "duration_seconds": 282.7,
+      "resolution": "1080x974",
+      "frame_rate": 30.0,
+      "file_size_mb": 190.3
+    },
+    "s21_side": {
+      "video_id": "s21_side",
+      "filename": "s21_side.mov",
+      "subject_id": 21,
+      "view_position": "side",
+      "duration_seconds": 277.4,
+      "resolution": "1080x974",
+      "frame_rate": 30.0,
+      "file_size_mb": 287.1
+    },
+    "s22_side": {
+      "video_id": "s22_side",
+      "filename": "s22_side.mov",
+      "subject_id": 22,
+      "view_position": "side",
+      "duration_seconds": 294.7,
+      "resolution": "1080x1190",
+      "frame_rate": 30.0,
+      "file_size_mb": 304.3
+    },
+    "s23_front": {
+      "video_id": "s23_front",
+      "filename": "s23_front.mov",
+      "subject_id": 23,
+      "view_position": "front",
+      "duration_seconds": 202.9,
+      "resolution": "1122x636",
+      "frame_rate": 29.0,
+      "file_size_mb": 205.3
+    },
+    "s24_back": {
+      "video_id": "s24_back",
+      "filename": "s24_back.mov",
+      "subject_id": 24,
+      "view_position": "back",
+      "duration_seconds": 186.0,
+      "resolution": "1532x1024",
+      "frame_rate": 30.0,
+      "file_size_mb": 221.4
+    },
+    "s24_lying": {
+      "video_id": "s24_lying",
+      "filename": "s24_lying.mov",
+      "subject_id": 24,
+      "view_position": "lying",
+      "duration_seconds": 192.3,
+      "resolution": "1592x514",
+      "frame_rate": 30.0,
+      "file_size_mb": 160.3
+    }
+  },
+  "statistics": {
+    "total_duration_minutes": 123.6,
+    "average_duration_seconds": 239.3,
+    "total_subjects": 24,
+    "subject_range": "1-24",
+    "position_distribution": {
+      "front": 6,
+      "back": 4,
+      "lying": 5,
+      "side": 16
+    },
+    "resolution_distribution": {
+      "640x376": 1,
+      "564x320": 1,
+      "442x210": 1,
+      "640x356": 1,
+      "640x372": 1,
+      "436x226": 1,
+      "640x370": 1,
+      "452x156": 1,
+      "1346x1080": 1,
+      "1496x1080": 1,
+      "966x1080": 1,
+      "1602x1080": 1,
+      "996x850": 1,
+      "848x480": 1,
+      "320x434": 1,
+      "1188x1080": 1,
+      "1038x918": 1,
+      "510x480": 1,
+      "1314x1080": 1,
+      "1080x848": 1,
+      "304x304": 1,
+      "1044x1080": 1,
+      "346x586": 1,
+      "400x352": 1,
+      "374x480": 1,
+      "1080x974": 2,
+      "1080x1190": 1,
+      "1122x636": 1,
+      "1532x1024": 1,
+      "1592x514": 1
+    },
+    "frame_rate_distribution": {
+      "30.0": 23,
+      "30.1": 6,
+      "24.0": 1,
+      "29.0": 1
+    }
+  }
+}

readme.md

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+# MPSC-RR: Multi-Position Respiratory Monitoring Dataset
+
+[![Dataset](https://img.shields.io/badge/Dataset-HuggingFace-yellow)](https://huggingface.co/datasets/justchugh/MPSC-RR)
+[![Paper](https://img.shields.io/badge/Paper-CHASE%202025-blue)](https://doi.org/10.1145/3721201.3721366)
+[![Code](https://img.shields.io/badge/Code-GitHub-black)](https://github.com/mxahan/RRPIPS)
+[![Website](https://img.shields.io/badge/Website-GitHub-red)](https://justchugh.github.io/RRPIPs.github.io/)
+[![License](https://img.shields.io/badge/License-CC%20BY%204.0-green)](LICENSE)
+
+### Video Overview
+
+[![Dataset Overview](dataset.mp4)](dataset.mp4)
+
+### Dataset Description
+
+The MPSC-RR dataset is a comprehensive collection of RGB videos designed for contactless respiratory rate estimation and respiratory waveform reconstruction research. The dataset captures respiratory-induced movements across multiple body positions and camera angles, providing diverse scenarios for developing robust respiratory monitoring algorithms.
+
+### Key Features
+
+- **Multi-Position Coverage**: Front, back, side, and lying positions
+- **Natural Breathing Patterns**: Regular, slow, and fast breathing captured
+- **Diverse Demographics**: Adult volunteers across different age groups and backgrounds
+- **Ground Truth Annotations**: Vernier Go Direct Respiration Belt measurements
+- **High-Quality Videos**: RGB videos with clear respiratory motion visibility
+- **Real-World Conditions**: Varied lighting, clothing, and environmental settings
+
+## Dataset Statistics
+
+- **Total Videos**: 31 video sessions
+- **Subjects**: 24 adult volunteers (Subject IDs: 1-24)
+- **Duration**: 2.5-5 minutes per video (Average: ~4 minutes)
+- **Resolution**: Varied resolutions from 304×304 to 1602×1080
+- **Frame Rate**: Primarily 30 FPS (with some at 30.1, 29, and 24 FPS)
+- **Total Duration**: ~2.1 hours of respiratory monitoring data
+- **Total Size**: 5.18 GB
+
+## Data Structure
+
+### Video Files
+
+```
+s{subject_id}_{view_position}.{ext}
+```
+
+**Naming Convention:**
+
+- `s1_front.mov` - Subject 1, front view
+- `s20_side.mp4` - Subject 20, side view (Note: one video in MP4 format)
+- `s24_lying.mov` - Subject 24, lying position
+
+**View Positions:**
+
+- `front` - Frontal chest/abdomen view (6 videos)
+- `back` - Back/shoulder movement view (4 videos)
+- `side` - Side profile view (16 videos)
+- `lying` - Lying down position (5 videos)
+
+### Metadata Structure
+
+```python
+{
+    "video_id": str,                    # e.g., "s1_front"
+    "subject_id": int,                  # Subject identifier (1-24)
+    "view_position": str,               # front, back, side, lying
+    "duration_seconds": float,          # Video duration
+    "resolution": str,                  # e.g., "1920x1080"
+    "frame_rate": float,                # 30.0, 30.1, 29.0, or 24.0 FPS
+    "file_size_mb": float,              # File size in megabytes
+    "filename": str                     # Actual filename with extension
+}
+```
+
+## Usage
+
+### Loading the Dataset
+
+```python
+from datasets import load_dataset
+
+# Load all videos
+dataset = load_dataset("justchugh/MPSC-RR")
+
+# Access video information
+sample = dataset[0]
+video_id = sample["video_id"]
+subject_id = sample["subject_id"] 
+view_position = sample["view_position"]
+```
+
+### Filtering Videos
+
+```python
+# Get front view videos
+front_videos = dataset.filter(lambda x: x["view_position"] == "front")
+
+# Get specific subject's videos
+subject_1 = dataset.filter(lambda x: x["subject_id"] == 1)
+
+# Get lying position videos
+lying_videos = dataset.filter(lambda x: x["view_position"] == "lying")
+```
+
+### Basic Analysis
+
+```python
+# Count videos per position
+positions = [sample["view_position"] for sample in dataset]
+position_counts = {pos: positions.count(pos) for pos in set(positions)}
+print("Videos per position:", position_counts)
+
+# List all subjects
+subjects = set(sample["subject_id"] for sample in dataset)
+print(f"Subjects: {sorted(subjects)}")
+```
+
+### Data Collection
+
+### Equipment
+
+- **Camera**: Standard RGB cameras (mobile phones, mounted cameras)
+- **Ground Truth**: Vernier Go Direct Respiration Belt for pressure measurements
+- **Distance**: 1-1.5 meters from subjects
+- **Environment**: Clinical laboratory setting with controlled conditions
+
+### Protocol
+
+1. **Subject Preparation**: Comfortable positioning with clear view of respiratory regions
+2. **Baseline Recording**: 30-second calibration period
+3. **Data Collection**: 3-5 minutes of natural breathing
+4. **Ground Truth Sync**: Synchronized pressure belt data collection
+5. **Quality Check**: Manual verification of respiratory cycles
+
+### View Positions Explained
+
+| Position  | Description     | Captured Regions         | Use Case                        | Count |
+| --------- | --------------- | ------------------------ | ------------------------------- | ----- |
+| `front` | Frontal view    | Chest, abdomen expansion | Standard respiratory monitoring | 6     |
+| `back`  | Back view       | Shoulder, back movement  | Posterior respiratory motion    | 4     |
+| `side`  | Side profile    | Chest wall movement      | Lateral respiratory dynamics    | 16    |
+| `lying` | Supine position | Abdomen, chest (lying)   | Sleep/rest respiratory patterns | 5     |
+
+## Dataset Distribution
+
+| Subject Range | Video Count | Positions Available |
+| ------------- | ----------- | ------------------- |
+| 1-2           | 6 videos    | front, back, lying  |
+| 3             | 2 videos    | back, lying         |
+| 4             | 1 video     | front               |
+| 5             | 2 videos    | front, lying        |
+| 6             | 1 video     | front               |
+| 7-22          | 16 videos   | side (primarily)    |
+| 23            | 1 video     | front               |
+| 24            | 2 videos    | back, lying         |
+
+## Benchmark Results
+
+Performance of state-of-the-art methods on MPSC-RR:
+
+| Method           | MAE (bpm)      | RMSE (bpm)     | Modality |
+| ---------------- | -------------- | -------------- | -------- |
+| Intensity-based  | 3.25           | 5.12           | RGB      |
+| Optical Flow     | 2.42           | 3.89           | RGB      |
+| PIPs++           | 1.62           | 2.92           | RGB      |
+| **RRPIPS** | **1.01** | **1.80** | RGB      |
+
+## Applications
+
+This dataset supports research in:
+
+- **Contactless Vital Sign Monitoring**
+- **Multi-Position Respiratory Analysis**
+- **Computer Vision for Healthcare**
+- **Sleep and Rest Monitoring**
+- **Wearable-Free Health Tracking**
+- **Clinical Decision Support Systems**
+
+## Data Quality
+
+### Inclusion Criteria
+
+- Clear visibility of respiratory-induced motion
+- Stable video recording (minimal camera movement)
+- Synchronized ground truth data available
+- Adequate lighting conditions
+
+### Quality Metrics
+
+- **Motion Clarity**: All videos show visible respiratory movement
+- **Synchronization**: <50ms offset between video and pressure data
+- **Duration**: Minimum 148 seconds per recording
+- **Resolution**: Varied resolutions optimized for respiratory motion capture
+
+## Related Datasets
+
+- **AIR-125**: Infant respiratory monitoring (125 videos, infants)
+- **BIDMC**: PPG and respiration signals (53 recordings, clinical)
+- **Sleep Database**: NIR/IR respiratory data (28 videos, adults)
+
+## Ethical Considerations
+
+- **IRB Approval**: All data collection approved by institutional review board
+- **Informed Consent**: Written consent obtained from all participants
+- **Privacy Protection**: Faces blurred or cropped when necessary
+- **Data Anonymization**: No personally identifiable information included
+- **Voluntary Participation**: Participants could withdraw at any time
+
+## Citation
+
+If you use this dataset in your research, please cite:
+
+```bibtex
+@inproceedings{hasan2025rrpips,
+    title={RRPIPS: Respiratory Waveform Reconstruction using Persistent Independent Particles Tracking from Video},
+    author={Hasan, Zahid and Ahmed, Masud and Sakib, Shadman and Chugh, Snehalraj and Khan, Md Azim and Faridee, Abu Zaher MD and Roy, Nirmalya},
+    booktitle={ACM/IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE)},
+    year={2025},
+    pages={1--12},
+    doi={10.1145/3721201.3721366}
+}
+```
+
+## Quick Start
+
+```python
+# Install required packages
+pip install datasets
+
+# Load and explore dataset
+from datasets import load_dataset
+dataset = load_dataset("justchugh/MPSC-RR")
+
+print(f"Total videos: {len(dataset)}")
+print(f"First video: {dataset[0]['video_id']}")
+print(f"Positions available: {set(s['view_position'] for s in dataset)}")
+
+# Example: Get all side view videos
+side_videos = dataset.filter(lambda x: x["view_position"] == "side")
+print(f"Side view videos: {len(side_videos)}")
+```
+
+## License
+
+This dataset is released under [Creative Commons Attribution 4.0 International License](https://creativecommons.org/licenses/by/4.0/).
+
+## Links
+
+- **Code Repository**: https://github.com/mxahan/RRPIPS
+- **Website Repository**: https://github.com/justchugh/RRPIPs.github.io
+
+## Contact
+
+- **Dataset Questions**: [email protected]
+- **Technical Issues**: [email protected]
+
+---
+
+*Dataset Version: 1.0*