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fitness_trainer_app

An AI-Driven fitness mobile application that provides real-time feedback. Works on the Meidapipe Pose Estimation Model and Tensorflow Pose Classification Models. The main Functionality of the application is to provide correct real-time feedback to the user about the Correct Posture for more than 7 exercises and Yoga Poses and also keep a Repetition

fitting_human_smpl_model

Estimating human pose and shape by fitting SMPL model with the dense points position and key points position

garden.xcamera

Migrated to https://github.com/kivy-garden/xcamera

grafika

Grafika test app

gymlytics

Visual Analytics of different exercises for humans 🏋️

hand_detection

using Neural Networks (SSD) on Tensorflow. This repo documents steps and scripts used to train a hand detector using Tensorflow (Object Detection API). As with any DNN based task, the most expensive (and riskiest) part of the process has to do with finding or creating the right (annotated) dataset. I was interested mainly in detecting hands on a t

handmovementtracking

A simple hand movement tracking module for humans ✍️

human-activity-recognition

Classifying the physical activities performed by a user based on accelerometer and gyroscope sensor data collected by a smartphone in the user’s pocket. The activities to be classified are: Standing, Sitting, Stairsup, StairsDown, Walking and Cycling.

human-pose-detection

Implementation and quantitative analysis of different classifier on top of pose data from separate model.

imu-filter-test

STM32F103C8T6 (Black Pill) ~ MPU6050 & MPU9250 with Kalman, Complementary, Mahony, Madgwick Filter

imufusion

EKF IMU Fusion Algorithms

imusim

IMUSim - see http://www.imusim.org/

integrategyrodata

Integrate using quaternions in Python the gyro output sent by an Arduino.

invensense-imu

Arduino and CMake library for communicating with the InvenSense MPU-6500, MPU-9250 and MPU-9255 nine-axis IMUs.

jash-good-idea-20190110-002

**-曾定章教授影像處理講義

joint_angles_calculate

Calculate the joint angles of a body pose

jojoposeestimation

Using OpenCV and OpenPose to recognize reference poses.

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

kalman-filter-localization

Implementation of sensor fusion using Kalman Filters for localization of autonomous vehicles.

lc_ahrs

learn_python_for_a_r_user

2017 IT 邦幫忙鐵人賽

learning

The easy way to use Machine Learning Kit in Flutter.

learnopencv

Learn OpenCV : C++ and Python Examples

lstm-neural-network-for-time-series-prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

madgwick_py

A Python implementation of Madgwick's IMU and AHRS algorithm.

mediapipe

Cross-platform, customizable ML solutions for live and streaming media.

mediapipe-android-pose-tracking

This is an Android Studio project for Mediapipe pose tracking.

mediapipe-python-sample

MediaPipeのPythonパッケージのサンプルです。2021/12/14時点でPython実装のある7機能(Hands、Pose、Face Mesh、Holistic、Face Detection、Objectron、Selfie Segmentation)について用意しています。

mediapipe_poseestimation_pytorch

based on mediapipe human Estimation project for pytorch, provide function(face_mesh,iris,pose,hand)

mediapipehandtracking

This is based on the Java code and made to work with kotlin. And even more so, with MediaPipe, you can experience MediaPipe's multi-handed tracking.