Human character recognition project
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Updated
Apr 3, 2017 - JavaScript
Human character recognition project
This project classifies different human activities into their respective actions using the `LibSVM` library.
ROS/ROS2 -- Navigation, Manipulation, Mimicking, Sensor Fusion, VR, Speech Recogition, Activity Recognition, Computer Vision
Using random forest to recognize human activity.
The Human Activity Recognition database was built from the recordings of 30 study participants performing activities of daily living (ADL) while carrying a waist-mounted smartphone with embedded inertial sensors. The objective is to classify activities into one of the six activities performed.
Searching Efficient Models for Human Activity Recognition
Multi-view balance related body landmark (joints) dataset with synchronized center of pressure (CoP)
Human Activity Recognition Using Smartphones Dataset
In this project, we try to track the physical activities of people through sensors from smartphones placed in different positions of the body.
Self-Explainable Zero-shot Human Activity Recognition Network
Human Activity Detection with TensorFlow and Python.
Human Activity Recognition Using Smartphones: Getting and Cleaning Data Course Project
Human Activity Detection using Machine Learning algorithms from Smart-watch data.
Human Activity Recognition from Smartphone Data using Machine Learning and Sequential Deep Learning Techniques
Human Aciton Recognition using machine learning and deep learning models - My Academic project
Human Activity Recognition using UCF50 dataset and LSTM model
Lo scopo dell'applicazione è quello di costruire un feature vector per la predizione dei pasti in base a valori registrati da sensori di qualità dell'aria. Le feature prodotte verranno automaticamente unite a feature statistiche già presenti in alcuni files. Per la classificazione utilizzare il Knowledge Flow Enviroment di Weka impostato nel fi…
In this project, our prime focus was to predict human activity by using the smartphone’s sensors. The tasks associated with this project were the classification and clustering of humans on the basis of their activities.
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