Objective:

To evaluate how different activity metrics contribute to calorie consumption using wearable fitness tracker data.

Key Findings:

• Higher-intensity activity and greater movement distance were the strongest drivers of calorie expenditure.
• Total distance and total steps were the most influential predictors of calorie burn.
• Support vector regression outperformed other models with an R² of 0.78 on the test set.
• High-intensity activity had a stronger effect on energy use compared to moderate and light activities.

Interpretation:

The relationship between activity and calories burned is complex, with efficiency and intensity playing crucial roles.

Limitations:

• Small sample size of 30 patients.
• Missing data on physiological factors like heart rate and age.
• Analysis relied on a single dataset without external validation.

Conclusion:

Both activity volume and intensity are central to energy expenditure, suggesting a focus on high-intensity activities and greater distances in health management.