Jupyter Notebook for Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras
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Updated
Mar 19, 2023 - Python
Jupyter Notebook for Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras
Recognizing human activity using multiple wearable accelerometer sensors placed at different body positions.
Gesture recognition using accelerometer data
Recognize users of mobile devices from accelerometer data ( Accelerometer Biometric Competition on kaggle)
Detect heavy drinking episodes among individuals using accelerometer samples extracted from the individuals mobile devices.
A Python library for reading nunchuk accelerometer data on RaspberryPi 3
Project for Neural Networks and Biometrics lessons.
Python + TensorFlow. Repository for training a machine learning model for collision detection with an accelerometer sensor data and TensorFlow.
Bluetooth Car driven by accelerometer data from a wireless controller. Driven by two servo motors
This repository contains the Graphical User Interface for a program using accelerometer data to authenticate users and identify the activity that they are performing.
Data pipeline to process raw accelerometer data into dataframes that are usable for time series classification algorithms.
Data pre- and post-processing scripts for RAPID (Robust Autonomous Pressure and Inertial Devices)
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