metadata
tags:
- keras
- time-series-classification
- education
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.]