Popular GitHub Repositories for Movements

? Use machine learning in JavaScript to detect eye movements and build gaze-controlled experiences.

Driver Drowsiness Detector detects if a driver or a person is drowsy or not, using their eye movements.

lipsync is a simple and updated Python library for lip synchronization, based on Wav2Lip. It synchronizes lips in videos and images based on provided audio, supports CPU/CUDA, and uses caching for faster processing.

Who Let The Dogs Out? Modeling Dog Behavior From Visual Data https://arxiv.org/pdf/1803.10827.pdf

An open source computer vision interface that tracks eye movements for individuals with severely-limited mobility.

Dynamic movement primitives (DMPs) are a method of trajectory control/planning from Stefan Schaal’s lab. Complex movements have long been thought to be composed of sets of primitive action ‘building blocks’ executed in sequence and \ or in parallel, and DMPs are a proposed mathematical formalization of these primitives. The difference between DMPs and previously proposed building blocks is that each DMP is a nonlinear dynamical system. The basic idea is that you take a dynamical system with well specified, stable behavior and add another term that makes it follow some interesting trajectory as it goes about its business. The DMP differential equations (Transformation System, Canonical System, Non-linear Function) realize a general way of generating point-to-point movements. Imitation learning using linear regression is performed to com

This HCI (Human-Computer Interaction) application in Python(3.6) will allow you to control your mouse cursor with your facial movements, works with just your regular webcam. Its hands-free, no wearable hardware or sensors needed.

A ROS workspace for the control of a 7 DOF or a 2 DOF robot using a webcam and a human operator body movements, with Python plus OpenCV and Mediapipe.

Winner of The Lucky Wheel Hackathon: https://theluckywheel.techatjasmin.com/#results. A 3D snake game written in threejs, which uses Tensorflow (ML) to control the snake with head movements. Move your head left and right to control the snake and open your mouth to make the snake slower! All magic is rendered on the screen using Canvas API.

Sentiment Analysis and Trend Monitoring to Predict Cryptocurrency Market Movements

ArtaEye is web/mobile camera eye tracking to make beautiful drawing and artwork based on eye movements. In this project. We target people with disabilities to create an artwork. We try to translate their feelings through their eyes into digital drawings.

Compilation of technical analysis tools (EMA, Bollinger bands), fundamental analysis, machine learning models (LSTM, Random forest, ARIMA, GARCH, Markov Regime Switching), traditional stock prediction tools (Monte Carlo), sentiment analysis (NLP) as well as portfolio optimization, with purpose to provide a better understanding regarding possible future price movements of the analyzed stock and propose an optimal asset allocation.

A hybrid technology capable of tracking eye movements during an examination, fully equipped with additional features including login, and student support.

Transform your webcam to an eye tracker

you speak and our program speak with anyone face you want with lips movements professionally

Deep learning techniques for detecting 6 types of hand movements from labeled dataset procured from Kaggle, Grasp-and-Lift EEG Detection.

Detects Left, Right and Stop movements which are hand gestures which are steering wheel movements.

It is well-known that stock price movements are highly sensitive to different types of news, including global events such as outbreaks of epidemics or military conflicts, as well as what people post about specific companies on their social networks. Previous research has studied methods to predict stock price movements based on sentiment analysis of business news and social media posts of a particular company alongside its historical stock price data. In contrast, this project will also implement a new state of the art algorithm recently developed by the Google Research team called Universal Sentence Encoder, which is able to encode input text, implementing sentence level embeddings, into high dimensional vectors that will be used as predictors of future stock price movements. According to that, both the Sentient Analysis and the Uni

An application to translate text to robot mouth movements including expressions and phonetics.

Camera based Ground Mapped Real-time Analytics on Movements of People