Context-detection API for Android developed as a university project
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Classifier.java 2.9KB

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  1. /*
  2. * Copyright (c) 2009-2010 Chris Smith
  3. *
  4. * Permission is hereby granted, free of charge, to any person obtaining a copy
  5. * of this software and associated documentation files (the "Software"), to deal
  6. * in the Software without restriction, including without limitation the rights
  7. * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
  8. * copies of the Software, and to permit persons to whom the Software is
  9. * furnished to do so, subject to the following conditions:
  10. *
  11. * The above copyright notice and this permission notice shall be included in
  12. * all copies or substantial portions of the Software.
  13. *
  14. * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
  15. * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
  16. * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
  17. * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
  18. * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
  19. * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
  20. * SOFTWARE.
  21. */
  22. package uk.co.md87.dsp.extractor;
  23. import com.dmdirc.util.StreamUtil;
  24. import java.io.FileInputStream;
  25. import java.io.IOException;
  26. import java.io.InputStream;
  27. import java.io.ObjectInputStream;
  28. import java.util.Arrays;
  29. import java.util.List;
  30. import java.util.Map;
  31. import uk.co.md87.dsp.extractor.features.AbsoluteMeanFeature;
  32. import uk.co.md87.dsp.extractor.features.RangeFeature;
  33. /**
  34. *
  35. * @author chris
  36. */
  37. public class Classifier {
  38. private final Map<Float[], String> model;
  39. private final List<Feature> features = Arrays.asList(new Feature[]{
  40. new AbsoluteMeanFeature(1),
  41. new AbsoluteMeanFeature(2),
  42. new RangeFeature(1),
  43. new RangeFeature(2)
  44. });
  45. public Classifier(final String filename) throws IOException, ClassNotFoundException {
  46. this(new FileInputStream(filename));
  47. }
  48. public Classifier(final InputStream is) throws IOException, ClassNotFoundException {
  49. try {
  50. model = (Map<Float[], String>) new ObjectInputStream(is).readObject();
  51. } finally {
  52. StreamUtil.close(is);
  53. }
  54. }
  55. public String[] classify(final Window window) {
  56. final Float[] target = window.getFeatures(features).values().toArray(
  57. new Float[features.size()]);
  58. float best = Float.MAX_VALUE;
  59. String bestActivity = "UNCLASSIFIED/UNKNOWN", secondBest = bestActivity;
  60. for (Map.Entry<Float[], String> entry : model.entrySet()) {
  61. float distance = 0;
  62. for (int i = 0; i < target.length; i++) {
  63. distance += Math.pow(target[i] - entry.getKey()[i], 2);
  64. }
  65. if (distance < best) {
  66. best = distance;
  67. secondBest = bestActivity;
  68. bestActivity = entry.getValue();
  69. }
  70. }
  71. return new String[]{bestActivity,secondBest};
  72. }
  73. }