| --- |
| license: cc-by-4.0 |
| task_categories: |
| - tabular-classification |
| - robotics |
| tags: |
| - imu |
| - biomechanics |
| - activity-recognition |
| - physical-ai |
| - sensor-certification |
| - opportunity-dataset |
| pretty_name: OPPORTUNITY — S2S Physics Certified |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
| # OPPORTUNITY — S2S Physics Certified (v1.7.0) |
|
|
| Physics-certified windows from the OPPORTUNITY Activity Recognition dataset. |
| Validated against **8 biomechanical laws** using [S2S](https://github.com/timbo4u1/S2S). |
|
|
| ## Two certifications provided |
|
|
| | File | Columns | Rejection | Notes | |
| |---|---|---|---| |
| | `opportunity_rua_certified.csv` | Documented RUA sensor (cols 10-12) | 14.4% | More accurate | |
| | `opportunity_certified.csv` | Auto-detected columns | 12.3% | Zero-config | |
|
|
| **Key finding:** Documented sensor columns give different results than auto-detection. |
| S2-ADL1 and S3-ADL1 show serious physics anomalies (20-22% pass rate). |
|
|
| ## Statistics (RUA documented) |
|
|
| | Metric | Value | |
| |---|---| |
| | Total windows | 2,371 | |
| | Files | 24 (4 subjects × ADL1-5 + Drill) | |
| | Sample rate | 30.3Hz (auto-detected) | |
| | Window size | 256 samples | |
| | Overall rejection | 14.4% | |
| | Worst session | S2-ADL1: 78% rejected | |
| | Best session | S2-ADL3: 9% rejected | |
|
|
| ## Key findings |
| S2-ADL1: 22% pass rate — serious sensor anomaly |
| S3-ADL1: 20% pass rate — serious sensor anomaly |
| S1-Drill: 79% pass — drill task cleanest |
| S2-ADL3/4/5: 90%+ pass — cleanest sessions |
|
|
| These anomalies are invisible to standard statistical checks. |
| S2S detects them through biomechanical law violations. |
|
|
| ## Columns used (RUA documented) |
|
|
| From official OPPORTUNITY column documentation: |
| - Accel: cols 10-12 (Right Upper Arm accelerometer, milli-g) |
| - Gyro: cols 50-52 (Right Upper Arm gyroscope) |
|
|
| ## Source dataset |
|
|
| Original OPPORTUNITY: https://archive.ics.uci.edu/dataset/226/opportunity+activity+recognition |
|
|
| 4 subjects, 7 IMU sensors, 30Hz, daily activities + drill tasks. |
|
|
| ## Citation |
| S2S Physics Certification Engine v1.7.0 |
| https://github.com/timbo4u1/S2S |
| DOI: 10.5281/zenodo.18878307 |
| pip install s2s-certify |
