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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