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
Core Motion in iOS using Swift
Recognizing human activity using multiple wearable accelerometer sensors placed at different body positions.
Implementation of Authentication Scheme using Gait Signals Captured from Accelerometer (SECRYPT'15)
Collecting and Analysing HAR with smart watch sensor data
At Yuñ Solutions, we are committed to democratize technology and make information accessible to all. We are sharing the data collected from our proprietary OBD device (LEVIN) during beta testing. The shared data has been collected for almost 4 months on 30 cars.
⭐ It would be great to recreate the experience of actually rolling dice in the browser. It would be reminiscent of marathon Monopoly with your friends. It would be like Vegas 🎲 baby!
Gesture recognition using accelerometer data
PsyGlass: An open-source framework for implementing Google Glass in research settings
Recognize users of mobile devices from accelerometer data ( Accelerometer Biometric Competition on kaggle)
Program that reads in accelerometer data (x, y, z direction values), trains a neural network program for classification, and then outputs predictions for a set of test data
An intelligent API which is capable of passively tracking gyroscopic data to classify sobriety level in real-time that will help minimize risks of drunk-riding accidents for e-scooter sharing systems.
Udacity AI for Healthcare Nanodegree Project: Heart Rate Estimation Algorithm From PPG and Accelerometer data
Detect heavy drinking episodes among individuals using accelerometer samples extracted from the individuals mobile devices.
With the help of Pattern reorganization and Machine Learning ( clustering ) predicting accidents using the accelerator in the mobile phones.
Accelerometer Device Design by Integration of Arduino UNO and MEMS Circuit
This repository is about reading and examining the hammer test data
This repository contains the analysis I performed during the advanced machine learning data challenge (MDI341) at Télécom Paris.
Arduino code for Accelerometer that controls a PanTilt module
Built an activity-aware pulse rate estimation using PPG and Accelerometer sensors.
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