123kiko

SLAM-Extended-Kalman-Filter-Particle-Filter

SLAM: Position estimation of vehicle and obstacles with Extended-Kalman and Particle filters in Matlab, using the System Identification Toolbox.

MAINSvsMAGEKF

MAINS: A Magnetic Field Aided Inertial Navigation System for Indoor Positioning

Bluetooth-Location_2D

indoor position based-on Bluetooth low energy in 2d space

WiFiDataAnalyzer

WiFi data measures analysis

pyswarms

A research toolkit for particle swarm optimization in Python

IMUNet_Android

GNSS_INS_Integrations_Comparisons

This is the open-source repository for the work "Intelligent Environment-Adaptive GNSS/INS Integrated Positioning with Factor Graph Optimization"

IMUCalibration-Gesture

calibration for Imu and show gesture

Wifi-fingerprinting-based-indoor-positioning

Pedestrian-Trajectory-Estimation

Indoor Pedestrian Trajectory Estimation using particle filter and map matching

Indoor-Positioning

01-DronePositioning/02-PedestrianDeadReckoning/03-DatabaseMatching-BLE

master1-lesson-ML-knn-location

Postgraduate courses , fingerprint location，with WiFi

activityrecognition

Resources about activity recognition-行为识别资料

Pedestrian-Dead-Reckoning

PDR using step detection on smartphone

iXR_GNSS-IMU_TightlyCouplingProgram

A GNSS/IMU tightly coupling MATLAB program using L1C pseudo-range and pseudo-range rate.

UWB-and-IMU-Fusion

This is a high-precision localization implementation using KF for IMU and UWB fusion.

UWB-IMU-AHRS

UWB and IMU fused AHRS algorithm

Localization-Algorithm

Sensor fusion (UWB+IMU+Ultrasonic), using Kalman filter and 3 different multilateration algorithms (Least square and Recursive Least square and gradient descent)

PDR

pdr

PDR measures and counts the number of steps, step length, and direction of the walker, and calculates the walker's walking trajectory, location, and other information.

filterpy

Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.

orientation_tracking-unscented_kalman_filter

Implemented Unscented Kalman Filter (UKF) for orientation tracking. Sensors fusion of accelerometer, and gyroscope

gaitIdentification

Activity classification based on IMU data.

Complementary_Filter_Python

a filter which fuses angular velocities, accelerations readings from a generic IMU device into an orientation quaternion using a novel approach based on a complementary fusion. python implementation based on the paper <Keeping a Good Attitude: A Quaternion-Based Orientation Filter for IMUs and MARGs>

ActivityClassification

Using Machine Learning classification models like Logistic Regression, SVM, Decision Trees, Random Forests, and Multi-Layer Perceptron to classify human activities such as sitting, walking, running, cycling, sleeping, etc on the basis of using heart rate data and IMU readings from a user’s hand, chest, and ankle.

GaitRecognition

Gait Recognition from mobile phone accelaration data of 3 persons.

gaitRecognition

步态识别行人

Human-activity-recognition-using-IMU

The objective of the project is to use the raw IMU data, to predict human activities such as walking, walking upstairs, walking downstairs, sitting, standing, Lying.

IF-ConvTransformer-UbiComp2022

This is the project of "If-ConvTransformer: A Framework for Human Activity Recognition Using IMU Fusion and ConvTransformer"

hampel_algorithm_followed_by_butterworth_low_pass_filter

Hampel algorithm followed by Butterworth low-pass filter using Python