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Fitness Tracker – Time Series Classification

Real-time activity recognition using motion sensor data from wearable fitness devices.

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More Information
Fitness Tracker – Time Series Classification
app details
Model Type

Time Series Classification

Framework

LiteRT (TensorFlow Lite)

Algorithm

Fully Connected Neural Network

Technical Details

Processes streaming accelerometer and gyroscope data to classify user activity using a lightweight neural network. Designed for mobile and wearable inference.

Use Cases
Time Series

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