nchappa Goto Github PK

activity-detection-using-imu-sensor

User activity detection using IMU (Inertial Measurement Unit) sensors and power of deep learning. The accelerometer data from smart wearables is used for continuous activity detection, which can be used for in depth activity monitoring and recommender systems.

aimldevfest-workshop-2019

TinyML on Arduino @ AI/ML DevFest Workshop - September 28, 2019

aml_project_fall19

This repository was made for the final project requirements of course Advanced Machine Learning (CS5824), Fall 2019

author-kit

awesome-human-motion

🏃‍♀️ A curated list about human motion capture, analysis and synthesis.

awesome-tips

crisp

Camera-to-IMU calibration and synchronization toolbox

dl-for-har

Official GitHub page of the best-paper award publication "Improving Deep Learning for HAR with shallow LSTMs" presented at the International Symposium on Wearable Computers 21' (ISWC 21')

har-with-imu-transformer

Intertial-based Human Activity Recognition with Transformers

human-activity-recognition

This project aims to classify human activities using data obtained from accelerometer and gyroscope sensors from phone and watch.

human-activity-recognition-1

Simple 1D CNN approach to human-activity-recognition (HAR) in PyTorch.

human_activity_recognition_using_wearable_sensors_review_challenges_evaluation_benchmark

This github is an implementation for accepted manuscript titled Human Activity Recognition using Wearable Sensors: Review, Challenges, Evaluation Benchmark.

imu-human-pose-pytorch

This is an official Pytorch implementation of "Fusing Wearable IMUs with Multi-View Images for Human Pose Estimation: A Geometric Approach, CVPR 2020".

mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

mobile-ar-sensor-logger

Camera and inertial measurement unit (IMU) data logger for Android and iOS

nchappa.github.io

Personal Website

opensim-core

SimTK OpenSim C++ libraries and command-line applications, and Java/Python wrapping.

selfhar

Improving Human Activity Recognition through Self-training with Unlabeled Data

tinyml-workshop

transpose

A real-time motion capture system that estimates poses and global translations using only 6 inertial measurement units

ts-tcc

[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"

uvadlc_notebooks

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2021/Spring 2022

zero2hero

Official implementation of "From Zero to Hero: Convincing with Extremely Complicated Math".