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An Interactive Kinect-Based Game Development for Shoulder Injury Rehabilitation
Arif A.a, Ulfa Maulidevi N.a, Dharma D.a, Rizky Alimansyah M.b, Prabowo T.c
a Bandung Institute of Technology, School of Electrical Engineering and Informatics, Bandung, Indonesia
b Faculty of Sciences and Informatics, University of Jenderal Achmad Yani, Cimahi, Indonesia
c Medical Rehabilitation Clinic, Hasan Sadikin Bandung Central Hospital, Bandung, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2018 IEEE.Shoulder injury is a joint dysfunction that often occurs due to training or other activities that use hand as a support. Technology development such as motion tracking that can record movements becomes media that can be implemented in the rehabilitation process. An implementation that can be used to detect motion is by utilizing Microsoft Kinect. In this paper, we conducted research to utilize Kinect in an effort to assist the rehabilitation process, which can perform on the development of the players. We use several methods to predict and manage each level of the game, namely Exponential Smoothing and Kalman Filter. The results showed that the prediction with Kalman Filter was 87.59%, and the Exponential Smoothing method had an accuracy of 91.01%.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Exponential smoothing,Exponential smoothing method,Game development,Microsoft kinect,Motion tracking,Shoulder injury,Technology development[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Exponential smoothing,Kalman filter,Microsoft kinect,Rehabilitation,Shoulder injury[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1109/ICODSE.2018.8705844[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]