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.
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.
Udacity AI for Healthcare Nanodegree Project: Heart Rate Estimation Algorithm From PPG and Accelerometer data
⭐ 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!
Built an activity-aware pulse rate estimation using PPG and Accelerometer sensors.
Implementation of Authentication Scheme using Gait Signals Captured from Accelerometer (SECRYPT'15)
PsyGlass: An open-source framework for implementing Google Glass in research settings
Gesture recognition using accelerometer data
Neurological Injury Motion Sensing (NIMS) Project
This repository contains the analysis I performed during the advanced machine learning data challenge (MDI341) at Télécom Paris.
Android app that collects data from the three main smartphone sensors (accelerometer, gyroscope and magnetometer) and saves it to a csv. file.
Collecting and Analysing HAR with smart watch sensor data
Get gyroscope and accelerometer data and export to CSV using Swift
Accelerometer sensor data for Human Posture Recognition
This repository contains the Graphical User Interface for a program using accelerometer data to authenticate users and identify the activity that they are performing.
Accelerometer Device Design by Integration of Arduino UNO and MEMS Circuit
Flappy Bird game using accelerometer values as controls. Tilt phone up to jump. Additional features auto-jump and manual-jump.
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