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| projects:fingertip_distance [2010/09/20 13:33] – created amaldo | projects:fingertip_distance [2010/09/24 10:44] (current) – ehmann | ||
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| + | ====== Distance classification using the fingertip sensor ====== | ||
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| + | ===== Client programs ===== | ||
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| + | The project contains client programs to train and test the sensors. | ||
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| + | ==== training file format ==== | ||
| + | The training data needs to be in the following format. | ||
| + | This allows the use in the distance evaluation program and in the libsvm-tools programs. | ||
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| + | < | ||
| + | . | ||
| + | . | ||
| + | . | ||
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| + | The parameters 1-9 have to be in ascending order. | ||
| + | The '' | ||
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| + | ==== evaluate ==== | ||
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| + | This program prints values from selected sensors. | ||
| + | It can also be used to generate training data in libsvm format | ||
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| + | Usage: | ||
| + | Sensor-Register-Reader | ||
| + | Parameters | ||
| + | -f < | ||
| + | -c < | ||
| + | -n < | ||
| + | -m < | ||
| + | -v < | ||
| + | -s < | ||
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| + | ==== distance ==== | ||
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| + | This program uses libsvm to predict the sensors distance to the surface. | ||
| + | It can use both training data and model files to generate the internal model. | ||
| + | The training data can also be saved as a model file. | ||
| + | Beside the distance-prediction on the sensor it can be used to test the training data. Either perform a cross validation check or test it against given test data. | ||
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| + | Usage: | ||
| + | Distance-Evaluation | ||
| + | Parameters | ||
| + | -f < | ||
| + | -m < | ||
| + | -n < | ||
| + | -t < | ||
| + | -p Print probability estimates instead of class predictions | ||
| + | -T Make cross validation test | ||
| + | -s Save model file (use -o) | ||
| + | -o < | ||
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