Retracted: Recognition of body segment based on human electromagnetic radiation analysis

The human body is shown have their own radiation, which emits at certain frequencies into space on their surrounding body. This study proposes an approach for recognition of human body segments based on electromagnetic radiation of human body. Four human body segments are considered called as Upper body, Torso, Arm and Lower Body. A-nearest neighbor (KNN) classifier is employed as pattern recognition technique to classify the human body segments and the performance of the classifier is evaluated using receiving operating characteristic (ROC). The results show that the proposed technique properly classifies the body segments with 93.75% accuracy. Experimental results recommend that the proposed technique is appropriate and capable to classify body segments using frequency analysis of human electromagnetic radiation.