Tech-Anis/Wearable-Activity-Classifier

Wearable Activity Classifier – Group ___

Task

Classify a 100-step, one-feature sensor sequence into Stationary, Walking, or Running.

Model selected

• Architecture: [CNN / SimpleRNN / LSTM / CNN+LSTM]
• Input shape: (100, 1)
• Output classes: 3
• Parameters: ______

Training data

Synthetic signals generated in the class notebook. The dataset was designed for teaching and is not a real wearable benchmark.

Evaluation

• Test accuracy: ______
• Training time in our run: ______ seconds

Why we selected this model

[Write 2–4 sentences using evidence from your comparison.]

Limitations

• Synthetic, simplified data
• One sensor feature only
• No testing across real users/devices
• Not intended for health, safety, or production use

Team learning note

[State one thing your group learned by comparing CNN, RNN, and LSTM.]