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Table 6 Example of three-source fusion using the PCR6 rule

From: A multisource fusion framework driven by user-defined knowledge for egocentric activity recognition

  CN CU ET EM LD MT RD SP TK TU TP WO WU TV WT
BBA of knowledge 0.1860 0.0233 0.2326 0.1163 0 0 0.0233 0 0.1163 0.1860 0 0.0698 0.0233 0.0233 0
BBA of image 0.0401 0.0260 0 0.4452 0 0.1526 0.0610 0 0.0939 0.1505 0 0 0 0 0.0308
BBA of sensors 0.0041 0.0303 0.0078 0.0558 0.0338 0.0076 0.0077 0.0229 0.1781 0.0264 0.0101 0.0174 0.0178 0.5602 0.0200
Fusion result 0.0565 0.0057 0.0754 0.2561 0.0031 0.0427 0.0103 0.0015 0.1017 0.0960 0.0003 0.0106 0.0022 0.3341 0.0037
  1. Conditions: the time stamp of the camera is 17:30:57 on Thursday. The captured image can be seen in Fig. 6(d), and the ground truth is “entertainment”
  2. Italics represent the maximum value of the BBA for all activities of the same information source, and the corresponding activity is the recognition result of that information source