Applying Bayes’ Classification to Predict Conditional Probabilities of a Test Case for Specified Injuries in Biomechanical Judo Combating
Reena Hooda1, Deepak Dhaka2 

1Dr. Reena Hooda, Assistant Professor. Indira Gandhi University Meerpur (Rewari). Haryana (India),
2Dr. Deepak Dhaka, Faculty, BPSMV Khanpur Kalan, Sonipat.

Manuscript received on 09 March 2019 | Revised Manuscript received on 17 March 2019 | Manuscript published on 30 July 2019 | PP: 3301-3307 | Volume-8 Issue-2, July 2019 | Retrieval Number: B3107078219/19©BEIESP | DOI: 10.35940/ijrte.B3107.078219
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Abstract: Judo is technical combating game that is based on the biomechanical practices and lies in the category of most probable traumatic &injurious games. Judo is all about throwing the opponent to win the bout. Uke (defender) continuouslymake efforts to defend himself from being displaced or to take advantage of Tori’s (attacker) body weight shifting by counter attacking through reversing the transferred force back to Tori with added strength and misbalanced him. As a defender, Uke try to avoid the back fall as this leads to loss of bout completely. This unusual evasion greatly invites the Judo trauma as a result of sudden twisting of Uke body in avoiding back fall. The injuries like abrasion, sprain or muscle strain are common during practices and are temporary. The major injuries like spine & head injuries that can cause the paralysis or memory loss and breakage ofHumerus (upper arm of shoulder) or disjoint of tibia in knee, elbow damage can spoil the carrier of Judoka as he cannot fight back in original form after such injuries. Therefore a prudent observation of probable injuries, their classification and association with Judo techniques is quite significant. Bayes’ classification can easily predict that which class of techniques like hip techniques, hands or legs techniques, throwing techniques, joint lock techniques or the choking techniques is more prone to particular set of specified injuries while playing by males or females under 3 categories of weight say lightweight, middle weight and high weight. Such study is beneficial to Judokas and coaches to avoid possible injuries. For this purpose, the research paper apply Bayes’ theorem to classify the conditional probabilities of 3 different classes of Judo injuries C1, C2 and C3 by taking 17 different Judo techniques under different Judo techniques classes, for instance,Ashi-Waza, Te-Waza, Kansetu-Waza, Sutemi-Waza and Shime-Waza in training data to compute posteriori. The tatami (Judo Mat) quality to absorb the pressure & reduce the risk of Judo traumas is also highlighted. For the further scope of the study, other behavioralaspects like attitude and beliefs that influences the Judokas performance, their learning &position winning arealso reflected.
Keywords: Bayes’ Classification, Biomechanical Judo, Conditional Probability, Injuries, Judo techniques.

Scope of the Article: Classification