A Python library for reading nunchuk accelerometer data on RaspberryPi 3
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Updated
Apr 22, 2019 - Python
A Python library for reading nunchuk accelerometer data on RaspberryPi 3
Project for Neural Networks and Biometrics lessons.
Bluetooth Car driven by accelerometer data from a wireless controller. Driven by two servo motors
Python + TensorFlow. Repository for training a machine learning model for collision detection with an accelerometer sensor data and TensorFlow.
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)
Detect heavy drinking episodes among individuals using accelerometer samples extracted from the individuals mobile devices.
Recognize users of mobile devices from accelerometer data ( Accelerometer Biometric Competition on kaggle)
Gesture recognition using accelerometer data
Recognizing human activity using multiple wearable accelerometer sensors placed at different body positions.
Jupyter Notebook for Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras
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