Olfaction
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Log | People | Tasks | Daily Notebook
Projects
Smell the world
Collect statistics of the smells in the natural world.
Odor recognition
Recognize objects based on a sniff in a real-world environment. Compare with blindfolded human performance.
Olfaction + vision
As above when one has access to both an image and the odor.
Challenges
- Sensor drift & calibration
- Invariance to water vapor (with and without specific sensor)
- Detect individual components of mixtures
- Learning: when do we learn a new odor? How far can we go unsupervised?
Progress Reports
Here is my Daily Olfaction Notebook
Each week I'll make a brief progress summary below.
Documentation
Documents from Michael Gibson:
User Documentation for ENose Board.
Protocol for communicating with the board.
Data Processing needed to convert hex values to meaningful resistances.