60 Open source projects that are alternatives of or similar to On-device-activity-recognition

Deep Convolutional Bidirectional LSTM for Complex Activity Recognition with Missing Data. Human Activity Recognition Challenge. Springer SIST (2020)

Code for : [Pattern Recognit. Lett. 2021] "Learn to cycle: Time-consistent feature discovery for action recognition" and [IJCNN 2021] "Multi-Temporal Convolutions for Human Action Recognition in Videos".

Activity Recognition from 2D pose using an LSTM RNN

Problem Set solutions for the "Introduction to Computer Vision (ud810)" MOOC from Udacity

STEP: Spatio-Temporal Progressive Learning for Video Action Detection. CVPR'19 (Oral)

An open source autonomous driving research platform for Active SLAM & Multisensor Data Fusion

Timeception for Complex Action Recognition, CVPR 2019 (Oral Presentation)

An extended Kalman Filter implementation in C++ for fusing lidar and radar sensor measurements.

Get the best AHRS accuracy out of the Tlera USFS with good sensor calibration

As a part of the HAKE project, includes the reproduced SOTA models and the corresponding HAKE-enhanced versions (CVPR2020).

Temporal Segments LSTM and Temporal-Inception for Activity Recognition

A PyTorch implementation of R2Plus1D and C3D based on CVPR 2017 paper "A Closer Look at Spatiotemporal Convolutions for Action Recognition" and CVPR 2014 paper "Learning Spatiotemporal Features with 3D Convolutional Networks"

A curated list of egocentric (first-person) vision and related area resources

Video-friendly caffe -- comes with the most recent version of Caffe (as of Jan 2019), a video reader, 3D(ND) pooling layer, and an example training script for C3D network and UCF-101 data

Code for "CMRNet: Camera to LiDAR-Map Registration" (ITSC 2019) - WIP

MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope)

(ROS) Sensor fusion algorithm for camera+lidar.

HAKE: Human Activity Knowledge Engine (CVPR'18/19/20, NeurIPS'20)

Filters: KF, EKF, UKF || Process Models: CV, CTRV || Measurement Models: Radar, Lidar

A one stop shop for all of your activity recognition needs.

An up-to-date & curated list of Awesome IMU-based Human Activity Recognition(Ubiquitous Computing) papers, methods & resources. Please note that most of the collections of researches are mainly based on IMU data.

The Wearables Development Toolkit - a development environment for activity recognition applications with sensor signals

DANA: Dimension-Adaptive Neural Architecture (UbiComp'21)( ACM IMWUT)

Pytorch implementation of the paper "Glimpse Clouds: Human Activity Recognition from Unstructured Feature Points", F. Baradel, C. Wolf, J. Mille , G.W. Taylor, CVPR 2018

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

This repository contains code and writeups for projects and labs completed as a part of UDACITY's first of it's kind self driving car nanodegree program.

A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package

Self Driving Car Project 6 - Sensor Fusion(Extended Kalman Filter)

Deep Learning-Based Gait Recognition Using Smartphones in the Wild

Code for Geo-Supervised Visual Depth Prediction

Activity Recognition Algorithms for the Charades Dataset

🚀 SLAM for autonomous planetary rovers with global localization

C3D for Keras + TensorFlow

Skeleton-based method for activity recognition problem

A tutorial for using deep learning for activity recognition (Pytorch and Tensorflow)

Unscented kalman filter (UKF) library in python that supports multiple measurement updates

Human Fall Detection from CCTV camera feed

HybVIO visual-inertial odometry and SLAM system

Paper list of activity prediction and related area

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

一些关于机器学习的学习资料与研究介绍

Kalman filter to estimate altitude and climbrate(sinkrate) by fusing altitude and acceleration sensor data

Temporal 3D ConvNet

A proof-of-concept app using KeenASR SDK on Android. WE ARE HIRING: https://keenresearch.com/careers.html

HAKE-Action in PyTorch

PyTorch implementation of AAAI 2021 paper: A Hybrid Attention Mechanism for Weakly-Supervised Temporal Action Localization

React Native wrapper for the Activity Recognition API.

Repo of paper title 'Avoid touching your face: A hand-to-face 3d motion dataset (covid-away) and trained models for smartwatches'

Enhance your application with the ability to see and interact with humans using any RGB camera.

A simple implementation of some complex Sensor Fusion algorithms

A curated list of action recognition and related area resources

Hoverboard sideboard hack for GD32 boards

Tensorflow implementation of Learning Topology from Synthetic Data for Unsupervised Depth Completion (RAL 2021 & ICRA 2021)

State estimation and filtering algorithms in Go

Vehicle State Estimation using Error-State Extended Kalman Filter

Udacity's Self-Driving Car Nanodegree project files and notes.

Realtime implemnetation of spatial-temporal local features

DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

Official code for "EagerMOT: 3D Multi-Object Tracking via Sensor Fusion" [ICRA 2021]

On-device speech-to-text engine powered by deep learning