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Anterior cruciate ligament (ACL) injury is a devastating injury that occurs at high frequency during involvement in competitive sporting activity. Typical treatment of ACL damage is a reconstruction of the anterior cruciate ligament (ACLR). It is projected that between 50 percent and 60 percent of ACL injured athletes will return to competitive sport. Athletes undergoing ACLR surgery are recommended for comprehensive rehab and preparedness to rebuild knee joint integrity and specific functional criteria to direct the comeback to sport to protect against secondary ACL damage.Patient main concerns were pain, with loss of strength and stability at the knee joint, the clinical findings found that there was a marked decrease in range of motion (ROM), and decreased strength of the quadriceps and the hamstrings.Diagnosis of case was grade 2 ACL tear which was confirmed by the MRI reports.The patient showed a great co-operation during the intervention period and now the subject is able to maintain his consistency in his sport. The outcome measures of physical therapy intervention progressed him in an enhanced athlete with return to his sport.

Precise face detection analysis is a crucial element for a social interaction review. To the viewer, producing the facial features that correspond to the thoughts and feelings which succeed in arousing the sensation or enhancing of the emotional sensitivity. The study is based on Virtual Reality (VR), to evaluate facial expression using Azure Kinect in adults with Class I molar relationship. The study will be conducted in Human Research Lab, on participants with Class I molar relationship, by using Azure Kinect. 196 participants will be selected of age above 18 as per the eligibility criteria. This research would demonstrate the different tools and applications available by testing their precision and relevance to determine the facial expressions.