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1. About
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3. Acknowledgments

The model use the correlation between physical activities and ECG. The activities detected are : Still , Walk and Running.We also used GradCAM++ to highlight the features affected by each activityTo download the dataset :www.kaggle.com/datasets/marcjuniornkengue/human-activity-recognition-using-ecg

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• The original dataset : [Pulse Transit Time] (https://physionet.org/content/pulse-transit-time-ppg/1.1.0)
• The authors of the original article about GRAD-CAM++:Aditya Chattopadhay; Anirban Sarkar; Prantik Howlader; Vineeth N Balasubramanian : Grad-CAM++: Generalized Gradient-Based Visual Explanations for Deep Convolutional Networks

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