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
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
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
ESE 650: Learning in Robotics, Project 3, Gesture Recognition using Hidden Markov Models and IMU Data
Python3 Command Line Utility to Store BNO055 Values to InfluxDB via UDP
Writing on-air with a smartwatch and writing on-paper with a tablet. Data used for evaluating the performance of a online writer verification system
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.
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