Abstract:
"
Doing workouts in the perfect pose is the one of the problems people face.
Without a workout assistant doing workouts in perfect pose without getting any pose
alignment errors is very hard for people. There are many workout helping mobile
applications but none of them detects incorrect poses in real-time. There are some
systems detects poses and recorrects them but they require pre recorded videos of the
user in order to process the postures and detect the pose erros.
The proposed solution will provide a system that will detect the human pose
and recognice the range of the correct posture and provide the validity of the workout
pose in real-time using human pose estimation. the system will ditect the human pose
in real-time using a pre trained pose estimation model. Usimg the model the system
will validate the range of the correct pose and it will display the user if the pose is
correct or incorrect in real-time
Testing was carried out on both functional and non-functional requirements,
with satisfactory level results. Domain experts, software engineers, and
common end-users all contributed to the evaluation. The evaluation results assisted
in identifying the project's strengths and weaknesses, as well as future improvements
that are required"
