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The CMU Multi-Modal Activity Database (CMU-MMAC) database contains
multimodal measures of the human activity of subjects performing the tasks
involved in cooking and food preparation. The CMU-MMAC database was
collected in Carnegie Mellon's Motion Capture Lab. A kitchen was built and
to date twenty-five subjects have been recorded cooking five different
recipes: brownies, pizza, sandwich, salad, and scrambled eggs.
The following modalities were recorded:
- VIDEO:
(1) Three high spatial resolution (1024 x 768) color video cameras at low temporal resolution (30 Hertz).
(2) Two low spatial resolution (640 x 480) color video cameras at high temporal resolution (60 Hertz).
(3) One wearable high spatial resolution (800 x 600 / 1024 x 768) camera at low temporal resolution (30 Hertz).
- AUDIO:
(1) Five balanced microphones.
- MOTION CAPTURE:
(1) A Vicon motion capture system with 12 infrared MX-40 cameras. Each camera records images at 4 megapixel resolution at 120 Hertz.
- Five wired IMUS (3DMGX - Sampling rate = 125Hz).
- Four bluetooth IMUS (6DOF - Sampling rate = 62Hz).
- RFID bracelet (iBracelet)
There are 3 datasets:
- Main Dataset: 43 subjects cooking 5 recipes.
- Anomalous Dataset: Three subjects cooking five recipes. Some anomalous situations occur (fire and smoke, falling dishes, distractions...).
- Pilot Dataset: First recorded system.
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