Action Recognition using Bi-LSTM with Wearable Inertial Sensor Data
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Updated
Aug 16, 2021 - Jupyter Notebook
Action Recognition using Bi-LSTM with Wearable Inertial Sensor Data
Repo to learn about IMU sensors. Platforms Arduino Nano 33 BLE Sense and ESP32
The emerging domain of tele-rehabilitation aims to eliminate bulky equipment traditionally used in the rehabilitation of those with motor impairment. Our proposed setup of a compact, simplified module for tele-rehabilitation involves a depth camera which detects the joint coordinates of the subject and generate gait cycle charts.
Contains c++ source code (ARDUINO/ATMEGA) for interfacing with HC-SRO4 ultrasonic sensor and MPU6050 accel/gyro sensor. Sensor data is collected and used as features to ANN for smart IMU positioning for UAVs.
Testing Kalman filter on MPU-6050 sensor
Video dividing, IMU data parsing, Image Processing, Satellite Positioning data Conversion
Unmanned Aerial Vehicle Pose-based Control
The python scripts used to validate the OutFin dataset.
A mobile app to immerse yourself in relaxing soundscapes
Android App for tracking Movement, Location and Voice Activity
A collection of datasets, papers, and resources for IMU sensing.
Based on the tutorial from an Arduino Blog post, this repository serves as a stepping stone for those who have Teensy 4 and an MPU-9250 and the desire to jump into Machine Learning
UKF for orientation tracking on inertial data
An application for IMU sensor data analysis
This program extracts data from two sensors: SparkFun 9DoF Razor IMU M0 and SparkFun GPS-RTK-SMA Breakout - ZED-F9P. The extracted data is then combined into a single message and sent via a radio transmitter.
An IMU-based Attitude Estimator, implementing the Madgwick filter
ESE 650: Learning in Robotics, Project 3, Gesture Recognition using Hidden Markov Models and IMU Data
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