en فیزیک درمانی Physiotherapy پژوهشي Original Research Articles <div style="text-align: justify;"><span style="font-size:14px;"><span style="font-family:Tahoma;"><span style="line-height:2;"><strong>Objectives</strong>: Although the Microsoft Kinect has compelling potential for gait analysis in medicine, data available to compare it with observational gait analysis (OGA) is scarce. This study compared the Microsoft Kinect and the OGA in assessing the gait parameters of apparently healthy adults.<br> <strong>Methods</strong>: Ninety-seven apparently healthy young male adults participated in this comparative study. First, the participant&rsquo;s age, height, weight, and body mass index were obtained. Afterward, gait parameters involving the number of steps, cadence, stride length, and step length were assessed concurrently following OGA standard procedures and the Microsoft Kinect during a 6-m walk down the hallway. The obtained data were analyzed using descriptive and inferential statistics. The significance level was set at P<0.05.&nbsp;<br> <strong>Results</strong>: The Mean&plusmn;SD walk time, steps, cadence, velocity, and stride length were 8.07&plusmn;1.39 s, 14.0&plusmn;2.96 counts, 72.9&plusmn;11.9 steps/min, 0.8&plusmn;0.13 m/s, and 0.77&plusmn;0.13m, respectively. Step length was significantly higher (P<0.05) with Microsoft Kinect than OGA, whereas stride length and walk speed values were significantly (P<0.05) lower with Microsoft Kinect. A moderate but significant (P=0.001) positive correlation existed between Microsoft Kinect and OGA regarding walk speed. In contrast, regarding the step length, a weak but significant (P<0.05) positive correlation was found between Microsoft Kinect and OGA.<br> <strong>Discussion</strong>: Step length values of Microsoft Kinect were significantly higher than OGA values, whereas stride length and walk speed values of Microsoft Kinect were significantly lower than OGA values. Walk speed and step length measured by Microsoft Kinect and OGA were positively correlated.<br> <br> <strong>Coresponding author:</strong>&nbsp;Saturday Nicholas Oghumu,&nbsp;E-mail:&nbsp;nicholasoghumu@unical.edu.ng<br> <u>You can also search for this author in:</u>&nbsp;&nbsp;<a href="https://scholar.google.com/citations?hl=en&user=oprSZIoAAAAJ">Google Scholar</a></span></span></span></div> Microsoft Kinect, Observational gait analysis, Gait analysis, Gait 347 354 http://irj.uswr.ac.ir/browse.php?a_code=A-10-1733-2&slc_lang=en&sid=1 Chidozie Emmanuel Mbada c.mbada@mmu.ac.uk 0000-0003-3666-7432 No Department of Health Professions, Faculty of Health and Education, Manchester Metropolitan University, Manchester, United Kingdom. Emmanuel Oluwatosin Abata abataemmanuel@gmail.com 0000-0002-8036-2436 No Department of Medical Rehabilitation, College of Health Sciences, Obafemi Awolowo University, Ile-Ife, Nigeria. Omoniyi Ayokunle Ojapinwa ayokunlejapinwa@gmail.com 0000-0001-8086-5458 No Department of Medical Rehabilitation, College of Health Sciences, Obafemi Awolowo University, Ile-Ife, Nigeria. Saturday Nicholas Oghumu nickyyivieosa@gmail.com 0000-0001-5919-4581 Yes Department of Physiotherapy, Faculty of Allied Medical Sciences, College of Medical Sciences, University of Calabar, Calabar, Nigeria. Adekola Ademogoyegun aademoyegun@gmail.com 0000-0002-7711-7835 No Department of Physiotherapy, Osun State University Teaching Hospital, Osoggbo, Nigeria. Francis Fatoye f.fatoye@mmu.ac.uk 0000-0002-3502-3953 No Department of Health Professions, Faculty of Health and Education, Manchester Metropolitan University, Manchester, United Kingdom.