MoveMate's Workout Planner and Activity Recognition Model

Table of Contents

• Description
• Architecture
• Results
• Dependencies
• File Structure

Description

Workout Planner

• Consist of {Capability Classifier Model (CCM), Schedule Generator (SG)}
• Posits a workout schedule for 1 month
• The output is determined by the data inputted by the user, currently ['Gender', 'Height', 'Weight'] for CCM and ['Freq/Week', 'Day Start', 'WO Time'] for SG other head are not yet included

Capability Classifier Model (CCM)

• Posits a percentage of capability 0 to 100%
• Later used to calculate the ideal reps in a particular workout

Schedule Generator (SG)

• First posits a workout plan consist of 3 Workout: PushUp, SitUp, JumpingJack with reps determinded by scaling the floor to ceil of workout by the capability score value
• Then posits a workout schedule in the forms of dataframe ['exercise no.', 'plan', 'sets', 'date', 'starts', 'end']
• Workout plan generated every month with updated user's data

Flow of Process

A Visualization of The Data

500 data in total

Architecture

Results

Capability Classifier Model (CCM)

Schedule Generator (SG)

Sets Scheme:

• Week 1: 2 Reps
• Week 2: 3 Reps
• Week 3: 3 Reps
• Week 4: 4 Reps

Dependencies

Here are the dependencies and libraries needed to run the notebook

• Python
• TensorFlow
• Numpy
• Pandas
• Matplotlib

File Structure

• Workout Planner/Capability Classifier: Directory containing the notebook and outputs for Capability Classifier.
• Workout Planner/Schedule Generator: Directory containing the notebook and outputs for Schedule Generator.

The dataset used for the model can be found here https://www.kaggle.com/datasets/yersever/500-person-gender-height-weight-bodymassindex