Final project Human Activity Recognition Using Smartphone Data

Goal: Classify human activities (e.g., Walking, Sitting,

Standing) using smartphone sensor data.

• Why It Matters: Helps in health monitoring, fitness apps,

and smart devices.

• Approach: Use PCA to reduce data dimensions and

Random Forest to classify activities.

“Our problem is to classify activities like walking or sitting

using sensor data from smartphones. This is useful for apps

that track fitness or monitor health. We’ll use PCA to

simplify the data and Random Forest to predict activities.”