The project aims to utilize mobile device accelerometer data to detect and categorize user-defined actions in real-time, ensuring accurate and timely identification.
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May 22, 2026 - Python
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wisdm
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Real-time human activity recognition: SVM vs LSTM on tri-axial accelerometer data, with Flask inference API, React dashboard, and ESP32 firmware.
react flask machine-learning firebase typescript deep-learning tensorflow svm esp32 scikit-learn accelerometer lstm human-activity-recognition wisdm
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May 4, 2026 - Jupyter Notebook
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Feb 4, 2019
Human Activity Recognition on the WISDM dataset using a vanilla Transformer (PyTorch) with an interactive Plotly Dash dashboard. 73.77% val accuracy with 4-sensor fusion.
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May 27, 2026 - Python
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