Open AccessDesign Of Push-Up Detector Applications Using Quality Function Development And Anthropometry For Movement Error Detection
Author(s) -
Ari Muzakir,
Christofora Desi Kusmindari
Publication year - 2018
Publication title -
international journal of artificial intelligence research
Language(s) - English
Resource type - Journals
ISSN - 2579-7298
DOI - 10.29099/ijair.v3i1.69
Subject(s) - detector , microcontroller , movement (music) , computer science , anthropometry , function (biology) , simulation , quality (philosophy) , sample (material) , motion sensors , position (finance) , real time computing , artificial intelligence , embedded system , telecommunications , geography , business , acoustics , physics , evolutionary biology , biology , philosophy , chemistry , archaeology , epistemology , chromatography , finance
Push-up is the simplest and most widely performed sport. Although simple, it also has a high risk of injury risk if done not in accordance with the rules. Push-up detector is a good push-up motion monitoring solution. In this way, nonstandard movements can be detected and corrected immediately. It has two motion sensors integrated with Arduino-based microcontroller. From this detector tool got the data of push-up result from sensor mounted. Sensor data will be displayed in the application in real-time. Quality function development is used to determine the criteria of the user. The sample data involved 200 participants who followed the testing of this tool and got 90% who can do the push-up correctly. Factors that affect the height, age, and weight. Tests conducted on adolescent boys aged 18-23 years. The results of this study is an application capable of monitoring each push-up movement to position in accordance with the provisions to minimize injuries resulting from movement errors.