Developing an android application for exercise routine based on fuzzy inference system / Norhamizah Aqilah Ahmad Ramlee, Nur Nadiyatul Husna Zainol Hisham and Nur Fadillah Rosli

The purpose of this study is to determine the suitable exercise routine for a
beginner who wants to start a workout to lose weight. This research developed an android
studio based on Fuzzy Inference System (FIS) in order to determine the exact exercise for
the beginner. Usually, people do exercise randomly without knowing how many time and
what type of exercise that they need to do. By having limited knowledge and guidance,
this will affect the muscle of the body such as it can cause cramp at a certain part of the
body because the body needs time to develop a new activity. This study was introduced to
help those who want to lose their weight by using this system to avoid any problems. The
FIS takes a multi-input-multi-output (MIMO) design approach with two input variable
(previous level and rate of hardness) and many outputs. In addition, to make the system
more efficient, this study developed an application for beginner to determine their
exercise routine. The level of exercise in the android studio is limited to ten levels only
and the type of exercise for this study is limited to five exercises only which are mountain
climbers, lunges, push up, squat and jumping jack. Furthermore, this study can be
improved by adding more levels so that people can use this system longer for effective
result. Fully developed, FIS and android studio can be used for everyone for daily uses.